From eaa4da6adee8fb1bb565cf175b57c7041706de9b Mon Sep 17 00:00:00 2001 From: "brice.boisson" Date: Tue, 8 Feb 2022 19:16:25 +0100 Subject: [PATCH] OCR project --- Generate-data/generate-data.py | 24 + ImageTreatment/Filter/cleanerimage.c | 166 + ImageTreatment/Filter/cleanerimage.h | 25 + ImageTreatment/Segmentation/segmentation.c | 571 + ImageTreatment/Segmentation/segmentation.h | 53 + ImageTreatment/Tools/tools.c | 264 + ImageTreatment/Tools/tools.h | 35 + ImageTreatment/display.c | 44 + ImageTreatment/display.h | 4 + ImageTreatment/extraction/extractchar.c | 159 + ImageTreatment/extraction/extractchar.h | 18 + ImageTreatment/extraction/extraction.c | 142 + ImageTreatment/extraction/extraction.h | 16 + Makefile | 62 + NeuralNetwork/Load.c | 171 + NeuralNetwork/Load.h | 21 + NeuralNetwork/structure.c | 135 + NeuralNetwork/structure.h | 36 + NeuralNetwork/toolsnetworks.c | 98 + NeuralNetwork/toolsnetworks.h | 19 + NeuralNetwork/training.c | 87 + NeuralNetwork/training.h | 8 + NeuralNetwork/traitement.c | 129 + NeuralNetwork/traitement.h | 11 + README.md | 20 + all.h | 10 + images/temp.bmp | Bin 0 -> 929366 bytes main.c | 230 + main.glade | 320 + src/Dataset/image-0-1.bmp | Bin 0 -> 3126 bytes src/Dataset/image-0-10.bmp | Bin 0 -> 3126 bytes src/Dataset/image-0-11.bmp | Bin 0 -> 3126 bytes src/Dataset/image-0-12.bmp | Bin 0 -> 3126 bytes src/Dataset/image-0-13.bmp | Bin 0 -> 3126 bytes src/Dataset/image-0-14.bmp | Bin 0 -> 3126 bytes src/Dataset/image-0-15.bmp | Bin 0 -> 3126 bytes src/Dataset/image-0-16.bmp | Bin 0 -> 3126 bytes src/Dataset/image-0-17.bmp | Bin 0 -> 3126 bytes src/Dataset/image-0-18.bmp | Bin 0 -> 3126 bytes src/Dataset/image-0-19.bmp | Bin 0 -> 3126 bytes src/Dataset/image-0-2.bmp | Bin 0 -> 3126 bytes src/Dataset/image-0-20.bmp | Bin 0 -> 3126 bytes src/Dataset/image-0-21.bmp | Bin 0 -> 3126 bytes src/Dataset/image-0-22.bmp | Bin 0 -> 3126 bytes src/Dataset/image-0-23.bmp | Bin 0 -> 3126 bytes src/Dataset/image-0-24.bmp | Bin 0 -> 3126 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3126 bytes src/Dataset/image-51-35.bmp | Bin 0 -> 3126 bytes src/Dataset/image-51-36.bmp | Bin 0 -> 3126 bytes src/Dataset/image-51-37.bmp | Bin 0 -> 3126 bytes src/Dataset/image-51-38.bmp | Bin 0 -> 3126 bytes src/Dataset/image-51-39.bmp | Bin 0 -> 3126 bytes src/Dataset/image-51-4.bmp | Bin 0 -> 3126 bytes src/Dataset/image-51-40.bmp | Bin 0 -> 3126 bytes src/Dataset/image-51-41.bmp | Bin 0 -> 3126 bytes src/Dataset/image-51-42.bmp | Bin 0 -> 3126 bytes src/Dataset/image-51-43.bmp | Bin 0 -> 3126 bytes src/Dataset/image-51-44.bmp | Bin 0 -> 3126 bytes src/Dataset/image-51-45.bmp | Bin 0 -> 3126 bytes src/Dataset/image-51-46.bmp | Bin 0 -> 3126 bytes src/Dataset/image-51-47.bmp | Bin 0 -> 3126 bytes src/Dataset/image-51-48.bmp | Bin 0 -> 3126 bytes src/Dataset/image-51-49.bmp | Bin 0 -> 3126 bytes src/Dataset/image-51-5.bmp | Bin 0 -> 3126 bytes src/Dataset/image-51-50.bmp | Bin 0 -> 3126 bytes src/Dataset/image-51-51.bmp | Bin 0 -> 3126 bytes src/Dataset/image-51-52.bmp | Bin 0 -> 3126 bytes src/Dataset/image-51-53.bmp | Bin 0 -> 3126 bytes src/Dataset/image-51-6.bmp | Bin 0 -> 3126 bytes src/Dataset/image-51-7.bmp | Bin 0 -> 3126 bytes src/Dataset/image-51-8.bmp | Bin 0 -> 3126 bytes src/Dataset/image-51-9.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-1.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-10.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-11.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-12.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-13.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-14.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-15.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-16.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-17.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-18.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-19.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-2.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-20.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-21.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-22.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-23.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-24.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-25.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-26.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-27.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-28.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-29.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-3.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-30.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-31.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-32.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-33.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-34.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-35.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-36.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-37.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-38.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-39.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-4.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-40.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-41.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-42.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-43.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-44.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-45.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-46.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-47.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-48.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-49.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-5.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-50.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-51.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-52.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-53.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-6.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-7.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-8.bmp | Bin 0 -> 3126 bytes src/Dataset/image-52-9.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-1.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-10.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-11.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-12.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-13.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-14.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-15.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-16.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-17.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-18.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-19.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-2.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-20.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-21.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-22.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-23.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-24.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-25.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-26.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-27.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-28.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-29.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-3.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-30.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-31.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-32.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-33.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-34.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-35.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-36.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-37.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-38.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-39.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-4.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-40.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-41.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-42.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-43.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-44.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-45.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-46.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-47.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-48.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-49.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-5.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-50.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-51.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-52.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-53.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-6.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-7.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-8.bmp | Bin 0 -> 3126 bytes src/Dataset/image-53-9.bmp | Bin 0 -> 3126 bytes src/Dataset/image-54-1.bmp | Bin 0 -> 3126 bytes src/Dataset/image-54-10.bmp | Bin 0 -> 3126 bytes src/Dataset/image-54-11.bmp | Bin 0 -> 3126 bytes src/Dataset/image-54-12.bmp | Bin 0 -> 3126 bytes src/Dataset/image-54-13.bmp | Bin 0 -> 3126 bytes src/Dataset/image-54-14.bmp | Bin 0 -> 3126 bytes src/Dataset/image-54-15.bmp | Bin 0 -> 3126 bytes src/Dataset/image-54-16.bmp | Bin 0 -> 3126 bytes src/Dataset/image-54-17.bmp | Bin 0 -> 3126 bytes 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src/Dataset/image-54-36.bmp | Bin 0 -> 3126 bytes src/Dataset/image-54-37.bmp | Bin 0 -> 3126 bytes src/Dataset/image-54-38.bmp | Bin 0 -> 3126 bytes src/Dataset/image-54-39.bmp | Bin 0 -> 3126 bytes src/Dataset/image-54-4.bmp | Bin 0 -> 3126 bytes src/Dataset/image-54-40.bmp | Bin 0 -> 3126 bytes src/Dataset/image-54-41.bmp | Bin 0 -> 3126 bytes src/Dataset/image-54-42.bmp | Bin 0 -> 3126 bytes src/Dataset/image-54-43.bmp | Bin 0 -> 3126 bytes src/Dataset/image-54-44.bmp | Bin 0 -> 3126 bytes src/Dataset/image-54-45.bmp | Bin 0 -> 3126 bytes src/Dataset/image-54-46.bmp | Bin 0 -> 3126 bytes src/Dataset/image-54-47.bmp | Bin 0 -> 3126 bytes src/Dataset/image-54-48.bmp | Bin 0 -> 3126 bytes src/Dataset/image-54-49.bmp | Bin 0 -> 3126 bytes src/Dataset/image-54-5.bmp | Bin 0 -> 3126 bytes src/Dataset/image-54-50.bmp | Bin 0 -> 3126 bytes src/Dataset/image-54-51.bmp | Bin 0 -> 3126 bytes src/Dataset/image-54-52.bmp | Bin 0 -> 3126 bytes src/Dataset/image-54-53.bmp | Bin 0 -> 3126 bytes src/Dataset/image-54-6.bmp | Bin 0 -> 3126 bytes src/Dataset/image-54-7.bmp | Bin 0 -> 3126 bytes src/Dataset/image-54-8.bmp | Bin 0 -> 3126 bytes src/Dataset/image-54-9.bmp | Bin 0 -> 3126 bytes src/Dataset/image-55-1.bmp | Bin 0 -> 3126 bytes src/Dataset/image-55-10.bmp | Bin 0 -> 3126 bytes src/Dataset/image-55-11.bmp | Bin 0 -> 3126 bytes src/Dataset/image-55-12.bmp | Bin 0 -> 3126 bytes src/Dataset/image-55-13.bmp | Bin 0 -> 3126 bytes src/Dataset/image-55-14.bmp | Bin 0 -> 3126 bytes src/Dataset/image-55-15.bmp | Bin 0 -> 3126 bytes src/Dataset/image-55-16.bmp | Bin 0 -> 3126 bytes src/Dataset/image-55-17.bmp | Bin 0 -> 3126 bytes src/Dataset/image-55-18.bmp | Bin 0 -> 3126 bytes src/Dataset/image-55-19.bmp | Bin 0 -> 3126 bytes src/Dataset/image-55-2.bmp | Bin 0 -> 3126 bytes src/Dataset/image-55-20.bmp | Bin 0 -> 3126 bytes src/Dataset/image-55-21.bmp | Bin 0 -> 3126 bytes src/Dataset/image-55-22.bmp | Bin 0 -> 3126 bytes src/Dataset/image-55-23.bmp | Bin 0 -> 3126 bytes src/Dataset/image-55-24.bmp | Bin 0 -> 3126 bytes src/Dataset/image-55-25.bmp | Bin 0 -> 3126 bytes src/Dataset/image-55-26.bmp | Bin 0 -> 3126 bytes src/Dataset/image-55-27.bmp | Bin 0 -> 3126 bytes src/Dataset/image-55-28.bmp | Bin 0 -> 3126 bytes src/Dataset/image-55-29.bmp | Bin 0 -> 3126 bytes src/Dataset/image-55-3.bmp | Bin 0 -> 3126 bytes src/Dataset/image-55-30.bmp | Bin 0 -> 3126 bytes src/Dataset/image-55-31.bmp | Bin 0 -> 3126 bytes src/Dataset/image-55-32.bmp | Bin 0 -> 3126 bytes src/Dataset/image-55-33.bmp | Bin 0 -> 3126 bytes src/Dataset/image-55-34.bmp | Bin 0 -> 3126 bytes src/Dataset/image-55-35.bmp | Bin 0 -> 3126 bytes src/Dataset/image-55-36.bmp | Bin 0 -> 3126 bytes src/Dataset/image-55-37.bmp | Bin 0 -> 3126 bytes src/Dataset/image-55-38.bmp | Bin 0 -> 3126 bytes src/Dataset/image-55-39.bmp | Bin 0 -> 3126 bytes src/Dataset/image-55-4.bmp | Bin 0 -> 3126 bytes src/Dataset/image-55-40.bmp | Bin 0 -> 3126 bytes src/Dataset/image-55-41.bmp | Bin 0 -> 3126 bytes 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src/Dataset/image-56-12.bmp | Bin 0 -> 3126 bytes src/Dataset/image-56-13.bmp | Bin 0 -> 3126 bytes src/Dataset/image-56-14.bmp | Bin 0 -> 3126 bytes src/Dataset/image-56-15.bmp | Bin 0 -> 3126 bytes src/Dataset/image-56-16.bmp | Bin 0 -> 3126 bytes src/Dataset/image-56-17.bmp | Bin 0 -> 3126 bytes src/Dataset/image-56-18.bmp | Bin 0 -> 3126 bytes src/Dataset/image-56-19.bmp | Bin 0 -> 3126 bytes src/Dataset/image-56-2.bmp | Bin 0 -> 3126 bytes src/Dataset/image-56-20.bmp | Bin 0 -> 3126 bytes src/Dataset/image-56-21.bmp | Bin 0 -> 3126 bytes src/Dataset/image-56-22.bmp | Bin 0 -> 3126 bytes src/Dataset/image-56-23.bmp | Bin 0 -> 3126 bytes src/Dataset/image-56-24.bmp | Bin 0 -> 3126 bytes src/Dataset/image-56-25.bmp | Bin 0 -> 3126 bytes src/Dataset/image-56-26.bmp | Bin 0 -> 3126 bytes src/Dataset/image-56-27.bmp | Bin 0 -> 3126 bytes src/Dataset/image-56-28.bmp | Bin 0 -> 3126 bytes src/Dataset/image-56-29.bmp | Bin 0 -> 3126 bytes src/Dataset/image-56-3.bmp | Bin 0 -> 3126 bytes src/Dataset/image-56-30.bmp | Bin 0 -> 3126 bytes src/Dataset/image-56-31.bmp | Bin 0 -> 3126 bytes src/Dataset/image-56-32.bmp | Bin 0 -> 3126 bytes src/Dataset/image-56-33.bmp | Bin 0 -> 3126 bytes src/Dataset/image-56-34.bmp | Bin 0 -> 3126 bytes src/Dataset/image-56-35.bmp | Bin 0 -> 3126 bytes src/Dataset/image-56-36.bmp | Bin 0 -> 3126 bytes src/Dataset/image-56-37.bmp | Bin 0 -> 3126 bytes src/Dataset/image-56-38.bmp | Bin 0 -> 3126 bytes src/Dataset/image-56-39.bmp | Bin 0 -> 3126 bytes src/Dataset/image-56-4.bmp | Bin 0 -> 3126 bytes src/Dataset/image-56-40.bmp | Bin 0 -> 3126 bytes src/Dataset/image-56-41.bmp | Bin 0 -> 3126 bytes src/Dataset/image-56-42.bmp | Bin 0 -> 3126 bytes src/Dataset/image-56-43.bmp | Bin 0 -> 3126 bytes src/Dataset/image-56-44.bmp | Bin 0 -> 3126 bytes src/Dataset/image-56-45.bmp | Bin 0 -> 3126 bytes src/Dataset/image-56-46.bmp | Bin 0 -> 3126 bytes src/Dataset/image-56-47.bmp | Bin 0 -> 3126 bytes src/Dataset/image-56-48.bmp | Bin 0 -> 3126 bytes 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src/Dataset/image-57-19.bmp | Bin 0 -> 3126 bytes src/Dataset/image-57-2.bmp | Bin 0 -> 3126 bytes src/Dataset/image-57-20.bmp | Bin 0 -> 3126 bytes src/Dataset/image-57-21.bmp | Bin 0 -> 3126 bytes src/Dataset/image-57-22.bmp | Bin 0 -> 3126 bytes src/Dataset/image-57-23.bmp | Bin 0 -> 3126 bytes src/Dataset/image-57-24.bmp | Bin 0 -> 3126 bytes src/Dataset/image-57-25.bmp | Bin 0 -> 3126 bytes src/Dataset/image-57-26.bmp | Bin 0 -> 3126 bytes src/Dataset/image-57-27.bmp | Bin 0 -> 3126 bytes src/Dataset/image-57-28.bmp | Bin 0 -> 3126 bytes src/Dataset/image-57-29.bmp | Bin 0 -> 3126 bytes src/Dataset/image-57-3.bmp | Bin 0 -> 3126 bytes src/Dataset/image-57-30.bmp | Bin 0 -> 3126 bytes src/Dataset/image-57-31.bmp | Bin 0 -> 3126 bytes src/Dataset/image-57-32.bmp | Bin 0 -> 3126 bytes src/Dataset/image-57-33.bmp | Bin 0 -> 3126 bytes src/Dataset/image-57-34.bmp | Bin 0 -> 3126 bytes src/Dataset/image-57-35.bmp | Bin 0 -> 3126 bytes src/Dataset/image-57-36.bmp | Bin 0 -> 3126 bytes src/Dataset/image-57-37.bmp | Bin 0 -> 3126 bytes src/Dataset/image-57-38.bmp | Bin 0 -> 3126 bytes src/Dataset/image-57-39.bmp | Bin 0 -> 3126 bytes src/Dataset/image-57-4.bmp | Bin 0 -> 3126 bytes src/Dataset/image-57-40.bmp | Bin 0 -> 3126 bytes src/Dataset/image-57-41.bmp | Bin 0 -> 3126 bytes src/Dataset/image-57-42.bmp | Bin 0 -> 3126 bytes src/Dataset/image-57-43.bmp | Bin 0 -> 3126 bytes src/Dataset/image-57-44.bmp | Bin 0 -> 3126 bytes src/Dataset/image-57-45.bmp | Bin 0 -> 3126 bytes src/Dataset/image-57-46.bmp | Bin 0 -> 3126 bytes src/Dataset/image-57-47.bmp | Bin 0 -> 3126 bytes src/Dataset/image-57-48.bmp | Bin 0 -> 3126 bytes src/Dataset/image-57-49.bmp | Bin 0 -> 3126 bytes src/Dataset/image-57-5.bmp | Bin 0 -> 3126 bytes src/Dataset/image-57-50.bmp | Bin 0 -> 3126 bytes src/Dataset/image-57-51.bmp | Bin 0 -> 3126 bytes src/Dataset/image-57-52.bmp | Bin 0 -> 3126 bytes src/Dataset/image-57-53.bmp | Bin 0 -> 3126 bytes src/Dataset/image-57-6.bmp | Bin 0 -> 3126 bytes 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a/Generate-data/generate-data.py b/Generate-data/generate-data.py new file mode 100644 index 0000000..fb82b17 --- /dev/null +++ b/Generate-data/generate-data.py @@ -0,0 +1,24 @@ +from PIL import Image +from PIL import ImageFont +from PIL import ImageDraw +import os + +L = ['ACaslonPro-Regular.otf','AdobeArabic-Regular.otf','AdobeDevanagari-Regular.otf', 'AdobeFangsongStd-Regular.otf','AdobeHebrew-Regular.otf', 'AdobeHeitiStd-Regular.otf', 'AdobeKaitiStd-Regular.otf', 'AdobeMyungjoStd-Medium.otf', 'AdobeNaskh-Medium.otf','AGaramondPro-Regular.otf', 'arial.ttf', 'arialbd.ttf', 'bahnschrift.ttf', 'calibri.ttf', 'calibrib.ttf', 'cambria.ttc', 'cambriab.ttf', 'Candara.ttf', 'Candarab.ttf', 'ChaparralPro-Bold.otf', 'ChaparralPro-Regular.otf', 'consola.ttf', 'consolab.ttf', 'CooperBlackStd.otf', 'corbel.ttf', 'corbelb.ttf', 'ebrima.ttf', 'ebrimabd.ttf', 'framdit.ttf', 'Gabriola.ttf', 'georgia.ttf', 'georgiab.ttf', +'himalaya.ttf', 'HoboStd.otf', +'Nirmala.ttf', 'NirmalaB.ttf','ntailu.ttf', 'ntailub.ttf', 'NuevaStd-Bold.otf', +'pala.ttf', 'palab.ttf', 'phagspa.ttf', 'phagspab.ttf', +'tahoma.ttf', 'tahomabd.ttf', 'taile.ttf', 'taileb.ttf', 'times.ttf', 'timesbd.ttf', 'trebuc.ttf', 'trebucbd.ttf', 'verdana.ttf', 'verdanab.ttf'] + +letter = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789.,'" +os.chdir (os.path.dirname(os.path.dirname(__file__)) + '/src/Dataset') + +lon_font = len(L) +lon_char = len(letter) + +for j in range(lon_char): + for i in range(lon_font): + font = ImageFont.truetype(L[i], 24) + img = Image.new('RGB', (32, 32), color = 'white') + draw = ImageDraw.Draw(img) + draw.text((0, 0),letter[j],(0,0,0),font=font) + img.save('image-' + str(j) + "-" + str(i + 1) + '.bmp', 'bmp') \ No newline at end of file diff --git a/ImageTreatment/Filter/cleanerimage.c b/ImageTreatment/Filter/cleanerimage.c new file mode 100644 index 0000000..2156103 --- /dev/null +++ b/ImageTreatment/Filter/cleanerimage.c @@ -0,0 +1,166 @@ +#include "cleanerimage.h" + +#include "../display.h" + +void grayscale(SDL_Surface *img) +{ + Uint32 pixel; + Uint8 r, g, b; + int w = img->w; + int h = img->h; + + for (int i = 0; i < w; i++) + { + for (int j = 0; j < h; j++) + { + pixel = getpixel(img, i, j); + SDL_GetRGB(pixel, img->format, &r, &g, &b); + Uint8 results = 0.3 * r + 0.59 * g + 0.11 * b; + pixel = SDL_MapRGB(img->format, results, results, results); + putpixel(img, i, j, pixel); + } + } +} + +void binerize(SDL_Surface *img) +{ + Uint32 pixel; + Uint8 r, g, b; + int w = img->w; + int h = img->h; + + for (int i = 0; i < w; i++) + { + for (int j = 0; j < h; j++) + { + pixel = getpixel(img, i, j); + SDL_GetRGB(pixel, img->format, &r, &g, &b); + Uint32 average = (r + b + g) / 3; + + if (average > 150) /*we can make an average here*/ + { + r = 255; + g = 255; + b = 255; + } + else + { + r = 0; + g = 0; + b = 0; + } + + pixel = SDL_MapRGB(img->format, r, g, b); + putpixel(img, i, j, pixel); + } + } +} +int IsValid(int x, int y, int w, int h) +{ + return x >= 0 && x < w && y >= 0 && y < h; +} + +SDL_Surface *Convolute(SDL_Surface *img, float mask[3][3]) +{ + int offset = 3 / 2; + Uint8 r, g, b; + Uint32 pixel = 0; + + SDL_Surface *copy = CreateWhiteSurface(img->w, img->h, img); + for (int y = 0; y < img->h; ++y) + { + for (int x = 0; x < img->w; ++x) + { + float red = 0; + float green = 0; + float blue = 0; + + for (int dy = -offset; dy <= offset; ++dy) + { + for (int dx = -offset; dx <= offset; ++dx) + { + if (IsValid(x + dx, y + dy, img->w, img->h)) + { + pixel = getpixel(img, x + dx, y + dy); + float coefficient = mask[dy + offset][dx + offset]; + SDL_GetRGB(pixel, img->format, &r, &g, &b); + red += r * coefficient; + green += g * coefficient; + blue += b * coefficient; + } + } + } + + pixel = SDL_MapRGB(img->format, Restrict256(red), + Restrict256(green), Restrict256(blue)); + putpixel(copy, x, y, pixel); + } + } + + return copy; +} + +int Restrict256(int n) +{ + if (n < 0) + return 0; + if (n > 255) + return 255; + return n; +} + +void ConstrastRenforcement(SDL_Surface *img, int delta) +{ + double factor = (259 * (delta + 255)) / (255.0 * (259.0 - delta)); + Uint32 pixel; + Uint8 r; + Uint8 g; + Uint8 b; + int w = img->w; + int h = img->h; + + if (delta == 259) + { + delta = 258; + } + + for (int i = 0; i < w; i++) + { + for (int j = 0; j < h; j++) + { + pixel = getpixel(img, i, j); + SDL_GetRGB(pixel, img->format, &r, &g, &b); + r = Restrict256(factor * (r - 128) + 128); + g = Restrict256(factor * (g - 128) + 128); + b = Restrict256(factor * (b - 128) + 128); + pixel = SDL_MapRGB(img->format, r, g, b); + putpixel(img, i, j, pixel); + } + } +} + +void noiseReduction(SDL_Surface *img) +{ + int w = img->w; + int h = img->h; + int pixelmap[9]; + + for (int i = 1; i < h - 1; i++) + { + for (int j = 1; j < w - 1; j++) + { + pixelmap[0] = getpixel(img, j - 1, i - 1); + pixelmap[1] = getpixel(img, j, i - 1); + pixelmap[2] = getpixel(img, j + 1, i - 1); + pixelmap[3] = getpixel(img, j - 1, i); + pixelmap[4] = getpixel(img, j, i); + pixelmap[5] = getpixel(img, j + 1, i); + pixelmap[6] = getpixel(img, j - 1, i + 1); + pixelmap[7] = getpixel(img, j, i + 1); + pixelmap[8] = getpixel(img, j + 1, i + 1); + array_select_sort(pixelmap, 9); + int med = pixelmap[4]; + putpixel(img, j, i, med); + } + } +} diff --git a/ImageTreatment/Filter/cleanerimage.h b/ImageTreatment/Filter/cleanerimage.h new file mode 100644 index 0000000..caefe4c --- /dev/null +++ b/ImageTreatment/Filter/cleanerimage.h @@ -0,0 +1,25 @@ +#ifndef _CLEANERIMAGE_H + +#define _CLEANERIMAGE_H + +#include + +#include "../Tools/tools.h" + +void grayscale(SDL_Surface *img); + +int IsValid(int x, int y, int w, int h); + +void ConstrastRenforcement(SDL_Surface *img, int delta); + +int Restrict256(int n); + +SDL_Surface *Convolute(SDL_Surface *img, float mask[3][3]); + +void noiseReduction(SDL_Surface *img); + +void blacknwhite(SDL_Surface *img); + +void binerize(SDL_Surface *img); + +#endif diff --git a/ImageTreatment/Segmentation/segmentation.c b/ImageTreatment/Segmentation/segmentation.c new file mode 100644 index 0000000..cbfa1e7 --- /dev/null +++ b/ImageTreatment/Segmentation/segmentation.c @@ -0,0 +1,571 @@ +#include "segmentation.h" + +/*find if a line contain black pixel*/ +/*If contain a black pixel return 0*/ +/*x is the height*/ +int FindBlackPixel(SDL_Surface *img, int x) +{ + Uint32 pixel; + int w = img->w; + Uint8 r, g, b; + /*A boolean that memorize if the line contain black pixel ornot*/ + int bool = 1; + + for (int i = 0; i < w; i++) + { + pixel = getpixel(img, i, x); + SDL_GetRGB(pixel, img->format, &r, &g, &b); + + if (r == 0) + { + bool = 0; + break; + } + } + + return bool; +} + +/*Main function which print line on image*/ + +void CutLines(SDL_Surface *img, int d) +{ + Uint32 pixel; + Uint8 r, g, b; + int end_line = 0; + int begin_line = 0; + int w = img->w; + int h = img->h; + d = d % 2; + + for (int i = 0; i < h; i++) + { + for (int j = 0; j < w; j++) + { + pixel = getpixel(img, j, i); + SDL_GetRGB(pixel, img->format, &r, &g, &b); + + if (r == 0) /*after binerize is not necessary to test the others + values*/ + { + if (FindBlackPixel(img, i - 1)) + { + DrawALine(img, i - 1); + begin_line = i - 1; + } + + if (FindBlackPixel(img, i + 1)) /*same but for the under line*/ + { + DrawALine(img, i + 1); + end_line = i + 1; + } + + if (end_line && begin_line) + { + if (d) + { + CutColumn(img, begin_line, end_line); + } + end_line = 0; + begin_line = 0; + } + break; + } + } + } +} + +/*draw a line if necessary*/ +void DrawALine(SDL_Surface *img, int x) +{ + Uint32 pixel; + int w = img->w; + + for (int i = 0; i < w; i++) + { + pixel = SDL_MapRGB(img->format, 255, 150, 255); + putpixel(img, i, x, pixel); + } +} + +/*Main function for mark the column on the image*/ +void CutColumn(SDL_Surface *img, int begin_line, int end_line) +{ + Uint8 r, g, b; + Uint32 pixel; + int w = img->w; + + for (int i = 0; i < w; i++) + { + for (int j = begin_line; j < end_line; j++) + { + pixel = getpixel(img, i, j); + SDL_GetRGB(pixel, img->format, &r, &g, &b); + + if (r == 0) /*after binerize is not necessary to test the others + values */ + { + if (FindBlackPixelInColumn( + img, begin_line, end_line, + i - 1)) /*For the first black pixel we meet, we check if + the upper line is full of white and then we + draw a line for mark the begin of a new + line*/ + { + DrawAColumn(img, i - 1, begin_line, end_line); + } + + if (FindBlackPixelInColumn( + img, begin_line, end_line, + i + 1)) /*same but for the under line*/ + { + DrawAColumn(img, i + 1, begin_line, end_line); + } + break; + } + } + } +} + +/*find if a column contain black pixel*/ +/*If contain a black pixel return 0*/ +/*start is the value on weight*/ +/*begin_line and end_line the value on height*/ +int FindBlackPixelInColumn(SDL_Surface *img, int begin_line, int end_line, + int start) +{ + Uint32 pixel; + Uint8 r, g, b; + int bool = + 1; /*A boolean that memorize if the line contain black pixel or not*/ + + for (int i = begin_line; i < end_line; i++) + { + pixel = getpixel(img, start, i); + SDL_GetRGB(pixel, img->format, &r, &g, &b); + + if (r == 0) + { + bool = 0; + break; + } + } + + return bool; +} + +/*Draw a column between two lines and characters*/ +void DrawAColumn(SDL_Surface *img, int y, int x, int end_line) +{ + Uint32 pixel; + + for (int i = x; i < end_line; i++) + { + pixel = SDL_MapRGB(img->format, 1, 100, 100); + putpixel(img, y, i, pixel); + } +} + +int pixelSpacingHorizontal(SDL_Surface *img) +{ + Uint32 pixel; + Uint8 r; + Uint8 g; + Uint8 b; + int white = 0; + int black = 0; + + for (int i = 0; i < img->h; i++) + { + for (int j = 0; j < img->w; j++) + { + pixel = getpixel(img, j, i); + SDL_GetRGB(pixel, img->format, &r, &g, &b); + if (r == 255 && g == 255 && b == 255) + { + white++; + } + else + { + black++; + } + } + } + return (white) / (black / 2); +} + +// fonctionne pareil que la version horizontale +int pixelSpacingVertical(SDL_Surface *img) +{ + Uint32 pixel; + Uint8 r; + Uint8 g; + Uint8 b; + int white = 0; + int black = 0; + + for (int i = 0; i < img->w; i++) + { + for (int j = 0; j < img->h; j++) + { + pixel = getpixel(img, i, j); + SDL_GetRGB(pixel, img->format, &r, &g, + &b); // recup les r g b du pixel (i, j) car vertical + if (r == 255 && g == 255 + && b == 255) // pareil qu'en version horizontal + { + white++; + } + else + { + black++; + } + } + } + return (white) / (black); +} + +void blockDetection_horizontal(SDL_Surface *img) +{ + Uint32 pixel; + Uint8 r, g, b; + int hori = pixelSpacingHorizontal(img) * 30; + int countWhite; + + for (int i = 0; i < img->h; i++) + { + countWhite = 0; + for (int j = 0; j < img->w; j++) + { + pixel = getpixel(img, j, i); + SDL_GetRGB(pixel, img->format, &r, &g, &b); + if (r == 255 && g == 255 && b == 255) + { + countWhite++; + } + if (r == 0 && g == 0 && b == 0) + { + if (countWhite <= hori) + { + int k = j - 1; + while (countWhite > 0) + { + pixel = SDL_MapRGB(img->format, 0, 0, 0); + putpixel(img, k, i, pixel); + countWhite--; + k--; + } + } + else + { + countWhite = 0; + } + } + } + } +} + +// remplis les espaces verticaux entre deux pixels. +// Fonctionne pareil que la version horizontale +void blockDetection_vertical(SDL_Surface *img) +{ + Uint32 pixel; + Uint8 r; + Uint8 g; + Uint8 b; + int verti = pixelSpacingVertical(img) * 3; + int countBlack; + + for (int i = 0; i < img->w; i++) + { + countBlack = 0; + for (int j = 0; j < img->h; j++) + { + pixel = getpixel(img, i, j); + SDL_GetRGB(pixel, img->format, &r, &g, &b); + if (r == 255 && g == 255 && b == 255) + { + countBlack++; + } + else + { + if (countBlack <= verti) + { + int k = j - 1; + while (countBlack > 0) + { + pixel = SDL_MapRGB(img->format, 0, 0, 0); + putpixel(img, i, k, pixel); + countBlack--; + k--; + } + } + else + { + countBlack = 0; + } + } + } + } +} + +// dessine les blocs en les noircissant entierement +//(fait un ET logique du RLSA horizontal et RLSA vertical) +// img c'est l'image qui va contenir des blocs remplis de noir +// imgHor a subi bloc detection horizontal +// imgver a subi bloc detection vertical +void drawBlocksMulti(SDL_Surface *img, SDL_Surface *imgHor, SDL_Surface *imgVer) +{ + Uint32 pixelHor; + Uint32 pixelVer; + Uint32 pixel; + Uint8 r; + Uint8 g; + Uint8 b; + + for (int i = 1; i + 1 < img->w; i++) + { + for (int j = 1; j + 1 < img->h; j++) + { + pixelHor = getpixel(imgHor, i, j); + SDL_GetRGB(pixelHor, imgHor->format, &r, &g, &b); + if (r == 0 && g == 0 && b == 0) + { + pixelVer = getpixel(imgVer, i, j); + SDL_GetRGB(pixelVer, imgVer->format, &r, &g, &b); + if (r == 0 && g == 0 && b == 0) + { + pixel = SDL_MapRGB(img->format, 0, 0, 0); + putpixel(img, i, j, pixel); + } + } + } + } +} + +void drawBlocks(SDL_Surface *img, SDL_Surface *imgHor) +{ + Uint32 pixelHor; + Uint32 pixelLine; + Uint8 r; + Uint8 g; + Uint8 b; + int w; + for (int i = 1; i + 1 < img->w; i++) + { + for (int j = 1; j + 1 < img->h; j++) + { + pixelHor = getpixel(imgHor, i, j); + SDL_GetRGB(pixelHor, imgHor->format, &r, &g, &b); + if (r == 0 && g == 0 && b == 0) + { + w = img->w; + for (int k = 0; k < w; k++) + { + pixelLine = SDL_MapRGB(img->format, 0, 0, 0); + putpixel(img, k, j, pixelLine); + } + } + } + } +} + +void drawBlocksLines(SDL_Surface *img, SDL_Surface *imgRLSA) +{ + Uint32 pixel; + Uint32 pixelRLSA; + Uint32 pixelUp; + Uint32 pixelDown; + Uint32 pixelLeft; + Uint32 pixelRight; + Uint8 r; + Uint8 g; + Uint8 b; + + for (int i = 1; i + 1 < img->w; i++) + { + for (int j = 1; j + 1 < img->h; j++) + { + pixelRLSA = getpixel(imgRLSA, i, j); + SDL_GetRGB(pixelRLSA, imgRLSA->format, &r, &g, &b); + if (r == 0 && g == 0 && b == 0) // si le pixel est noir, + { + pixelUp = getpixel(imgRLSA, i, j - 1); + SDL_GetRGB(pixelUp, imgRLSA->format, &r, &g, &b); + if (r == 255 && g == 255 && b == 255) // pixel du haut + { + pixel = SDL_MapRGB(img->format, 0, 0, 255); + putpixel(img, i, j - 1, pixel); + } + else + { + pixelDown = getpixel(imgRLSA, i, j + 1); + SDL_GetRGB(pixelDown, imgRLSA->format, &r, &g, &b); + if (r == 255 && g == 255 && b == 255) // pixel d'en bas + { + pixel = SDL_MapRGB(img->format, 0, 0, 255); + putpixel(img, i, j + 1, pixel); + } + else + { + pixelLeft = getpixel(imgRLSA, i - 1, j); + SDL_GetRGB(pixelLeft, imgRLSA->format, &r, &g, &b); + if (r == 255 && g == 255 && b == 255) // pixel de gauche + { + pixel = SDL_MapRGB(img->format, 0, 0, 255); + putpixel(img, i, j - 1, pixel); + } + else + { + pixelRight = getpixel(imgRLSA, i + 1, j); + SDL_GetRGB(pixelRight, imgRLSA->format, &r, &g, &b); + if (r == 255 && g == 255 + && b == 255) // pixel de droite + { + pixel = SDL_MapRGB(img->format, 0, 0, 255); + putpixel(img, i, j + 1, pixel); + } + } + } + } + } + } + } +} + +/*make an histogramme of the black pixel in column of the image*/ +/*histo1 is a pointer on a int array*/ +void histo(SDL_Surface *img, int *histo1) +{ + Uint32 pixel; + Uint8 r, g, b; + int w = img->w; + int h = img->h; + + for (int r = 0; r < w; r++) + { + histo1[r] = 0; + } + + for (int i = 0; i < w; i++) + { + int s = 0; + for (int j = 0; j < h; j++) + { + pixel = getpixel(img, i, j); + SDL_GetRGB(pixel, img->format, &r, &g, &b); + + if (r == 255) + { + s++; + } + } + histo1[i] = h - s; + } +} +/*useless actually*/ +/*void cutchar(SDL_Surface *img){ + int w; + w = img -> w; + int *histog = malloc(w * sizeof(int)); + int average = average1(img); + printf("%i\n",average); + int s = 0; + int bool1=0; + histo(img, histog); + for (int i = 0; i < img -> w; i++){ + if (s > average){ + printf("histo(%i) = %i",i,histog[i]); + DrawAColumn(img, i-s/2, 0,img->h -1); + } + if (histog[i] != 0){ + if(bool1) + { + bool1 =0; + } + s++; + } + else + { + bool1=1; + s =0; + } + } + free(histog); +}*/ + +/*make the average of all suite of zero in the histogramme*/ +int average(SDL_Surface *img) +{ + int w = img->w; + int *histog = malloc(w * sizeof(int)); + histo(img, histog); + int s = 0; + int sum = 0; + int r = 0; + int bool1 = 1; + + for (int i = 0; i < img->w; i++) + { + if (histog[i] == 0) + { + if (bool1) + { + bool1 = 0; + r += 1; + } + s++; + } + else + { + sum += s; + bool1 = 1; + s = 0; + } + } + + free(histog); + return sum / r; +} + +/*cut all of the word of a line*/ +void cutword(SDL_Surface *img) +{ + int w = img->w; + int *histog = malloc(w * sizeof(int)); + histo(img, histog); + int bool1 = 1; + int r = average(img); + int s = 0; + int pos = 0; + int i; + + for (i = 0; i < img->w; i++) + { + if (histog[i] == 0) + { + if (bool1) + { + pos = i; + bool1 = 0; + } + s++; + } + else + { + if (s >= r * 1.4) + { + DrawAColumn(img, pos, 0, img->h); + } + bool1 = 1; + s = 0; + } + } + + if (i == img->w) + { + DrawAColumn(img, pos, 0, img->h); + } + + free(histog); +} diff --git a/ImageTreatment/Segmentation/segmentation.h b/ImageTreatment/Segmentation/segmentation.h new file mode 100644 index 0000000..89312d0 --- /dev/null +++ b/ImageTreatment/Segmentation/segmentation.h @@ -0,0 +1,53 @@ +#ifndef _SEGMENTATION_H + +#define _SEGMENTATION_H + +#include + +#include "../Tools/tools.h" + +void CutLines(SDL_Surface *img, int d); + +void cutword(SDL_Surface *img); + +int seuil(SDL_Surface *img); + +void drawBlocksLines(SDL_Surface *img, SDL_Surface *imgRLSA); + +void histo(SDL_Surface *img, int *histo1); + +int average1(SDL_Surface *img); + +void drawBlocksMulti(SDL_Surface *img, SDL_Surface *imgHor, + SDL_Surface *imgVer); + +void drawBlocks(SDL_Surface *img, SDL_Surface *imgHor); + +void cutchar(SDL_Surface *img); + +int pixelSpacingHorizontal(SDL_Surface *img); + +int pixelSpacingVertical(SDL_Surface *img); + +void blockDetection_horizontal(SDL_Surface *img); + +int average(SDL_Surface *img); + +void blockDetection_vertical(SDL_Surface *img); + +void CutColumn(SDL_Surface *img, int begin_line, int end_line); + +int FindBlackPixelInColumn(SDL_Surface *img, int begin_line, int end_line, + int start); + +void DrawAColumn(SDL_Surface *img, int y, int x, int end_line); + +int FindBlackPixel(SDL_Surface *img, int x); + +void DrawInImage(SDL_Surface *img); + +void DrawALine(SDL_Surface *img, int x); + +void lines(SDL_Surface *img); + +#endif \ No newline at end of file diff --git a/ImageTreatment/Tools/tools.c b/ImageTreatment/Tools/tools.c new file mode 100644 index 0000000..375f71c --- /dev/null +++ b/ImageTreatment/Tools/tools.c @@ -0,0 +1,264 @@ +#include "tools.h" + +#include + +Uint8 *pixelref(SDL_Surface *surf, unsigned x, unsigned y) +{ + int bpp = surf->format->BytesPerPixel; + return (Uint8 *)surf->pixels + y * surf->pitch + x * bpp; +} + +Uint32 getpixel(SDL_Surface *surface, unsigned x, unsigned y) +{ + Uint8 *p = pixelref(surface, x, y); + switch (surface->format->BytesPerPixel) + { + case 1: + return *p; + case 2: + return *(Uint16 *)p; + case 3: + if (SDL_BYTEORDER == SDL_BIG_ENDIAN) + return p[0] << 16 | p[1] << 8 | p[2]; + else + return p[0] | p[1] << 8 | p[2] << 16; + case 4: + return *(Uint32 *)p; + } + return 0; +} + +void putpixel(SDL_Surface *surface, int x, int y, Uint32 pixel) +{ + Uint8 *p = pixelref(surface, x, y); + + switch (surface->format->BytesPerPixel) + { + case 1: + *p = pixel; + break; + + case 2: + *(Uint16 *)p = pixel; + break; + + case 3: + + if (SDL_BYTEORDER == SDL_BIG_ENDIAN) + { + p[0] = (pixel >> 16) & 0xff; + p[1] = (pixel >> 8) & 0xff; + p[2] = pixel & 0xff; + } + else + { + p[0] = pixel & 0xff; + p[1] = (pixel >> 8) & 0xff; + p[2] = (pixel >> 16) & 0xff; + } + break; + + case 4: + *(Uint32 *)p = pixel; + break; + } +} + +void pause1() +{ + int continuer = 1; + SDL_Event event; + + while (continuer) + { + SDL_WaitEvent(&event); + switch (event.type) + { + case SDL_QUIT: + continuer = 0; + } + } +} + +void array_swap(int array[], size_t i, size_t j) +{ + int element1 = array[i]; + int element2 = array[j]; + array[i] = element2; + array[j] = element1; +} +void array_select_sort(int array[], size_t len) +{ + size_t i = 0; + size_t j; + int min_index; + + while (i < len) + { + j = i; + min_index = j; + while (j < len) + { + if (array[j] < array[min_index]) + { + min_index = j; + } + j += 1; + } + array_swap(array, i, min_index); + i++; + } +} + +SDL_Surface *copy_image(SDL_Surface *img) +{ + Uint32 pixel; + SDL_Surface *copy; + copy = SDL_CreateRGBSurface(0, img->w, img->h, img->format->BitsPerPixel, 0, + 0, 0, 0); + for (int i = 0; i < img->w; i++) + { + for (int j = 0; j < img->h; j++) + { + pixel = getpixel(img, i, j); + putpixel(copy, i, j, pixel); + } + } + return (copy); +} + +SDL_Surface *resize(SDL_Surface *img, int x, int y) +{ + Uint32 pixel; + SDL_Surface *new = + SDL_CreateRGBSurface(0, x, y, img->format->BitsPerPixel, 0, 0, 0, 0); + int w = img->w; + int h = img->h; + float ratioX = (float)w / x; + float ratioY = (float)h / y; + + for (int i = 0; i < x; ++i) + { + for (int j = 0; j < y; ++j) + { + pixel = getpixel(img, (int)(i * ratioX), (int)(j * ratioY)); + putpixel(new, i, j, pixel); + } + } + + return new; +} + +SDL_Surface *CreateWhiteSurface(int x, int y, SDL_Surface *img) +{ + Uint32 pixel; + SDL_Surface *new = + SDL_CreateRGBSurface(0, x, y, img->format->BitsPerPixel, 0, 0, 0, 0); + + for (int i = 0; i < new->w; i++) + { + for (int j = 0; j < new->h; j++) + { + pixel = SDL_MapRGB(img->format, 255, 255, 255); + putpixel(new, i, j, pixel); + } + } + + return (new); +} + +/*return a new image with a rotation of theta a apply +in the image in paramaters*/ +SDL_Surface *rotate(double teta, SDL_Surface *img) +{ + double radian = (teta * M_PI) / 180.0; + int certerx = round(((img->w + 1) / 2) - 1); + int centery = round(((img->h + 1) / 2) - 1); + int xprime = 0; + int yprime = 0; + int h = img->h; + int w = img->w; + Uint32 pixel = 0; + SDL_Surface *new = CreateWhiteSurface(w, h, img); + + for (int i = 0; i < img->w; i++) + { + for (int j = 0; j < img->h; j++) + { + xprime = round((double)(i - certerx) * cos(radian) + + (double)(j - centery) * sin(radian)); + yprime = round((double)(j - centery) * cos(radian) + - (double)(i - certerx) * sin(radian)); + + xprime += certerx; + yprime += centery; + + if (xprime >= 0 && xprime < img->w && yprime < img->h + && yprime >= 0) + { + pixel = getpixel(img, i, j); + putpixel(new, xprime, yprime, pixel); + } + } + } + + return new; +} + +/*apply hough transformy and return the angle detected*/ +double houghtrasformy(SDL_Surface *img) +{ + double maxrow = sqrt((img->w * img->w) + (img->h * img->h)); + int maxteta = 180; + Uint8 r, g, b; + int *tab = calloc((size_t)(maxrow * 181), sizeof(int)); + Uint32 pixel = 0; + + for (int i = 0; i < img->w; i++) + { + for (int j = 0; j < img->h; j++) + { + pixel = getpixel(img, i, j); + SDL_GetRGB(pixel, img->format, &r, &g, &b); + + if (r == 0 && g == 0 && b == 0) + { + int x = i - (img->w / 2); + int y = j - (img->h / 2); + + for (int teta_i = 0; teta_i < maxteta; teta_i++) + { + double teta = ((double)teta_i / 180.0) * M_PI; + double row = x * cos(teta) + y * sin(teta); + size_t i_rho = 0.5 + (row / maxrow + 0.5) * (maxrow + 1); + tab[teta_i + maxteta * i_rho] += 1; + } + } + } + } + + double resulte = maxhough(tab, maxrow); + free(tab); + return resulte; +} + +double maxhough(int *tab, size_t maxrow) +{ + double ThetaR; + int max = 0; + size_t maxteta = 180; + + for (size_t i = 0; i < maxrow; ++i) + { + for (size_t j = 0; j < maxteta; ++j) + { + if (tab[j + i * maxteta] > max) + { + max = tab[j + i * maxteta]; + ThetaR = j; + } + } + } + + return ThetaR; +} diff --git a/ImageTreatment/Tools/tools.h b/ImageTreatment/Tools/tools.h new file mode 100644 index 0000000..10b8249 --- /dev/null +++ b/ImageTreatment/Tools/tools.h @@ -0,0 +1,35 @@ +#ifndef TOOLS_H_ +#define TOOLS_H_ + +#include +#include +#include +#include +#include + +void putpixel(SDL_Surface *surface, int x, int y, Uint32 pixel); + +void array_select_sort(int array[], size_t len); + +void array_swap(int array[], size_t i, size_t j); +void pause1(); + +SDL_Surface *CreateWhiteSurface(int x, int y, SDL_Surface *img); + +int FindBlackPixelv2(SDL_Surface *img, int x); + +SDL_Surface *rotate(double teta, SDL_Surface *img); + +double houghtrasformy(SDL_Surface *img); + +double maxhough(int *tab, size_t maxrow); + +SDL_Surface *copy_image(SDL_Surface *img); + +SDL_Surface *resize(SDL_Surface *img, int x, int y); + +Uint32 getpixel(SDL_Surface *surface, unsigned x, unsigned y); + +Uint8 *pixelref(SDL_Surface *surf, unsigned x, unsigned y); + +#endif \ No newline at end of file diff --git a/ImageTreatment/display.c b/ImageTreatment/display.c new file mode 100644 index 0000000..880da91 --- /dev/null +++ b/ImageTreatment/display.c @@ -0,0 +1,44 @@ +#include "display.h" + +void wait_for_keypressed() +{ + SDL_Event event; + + do + { + SDL_PollEvent(&event); + } while (event.type != SDL_KEYDOWN); + + do + { + SDL_PollEvent(&event); + } while (event.type != SDL_KEYUP); +} + +SDL_Window *display_img(SDL_Surface *image) +{ + if (SDL_VideoInit(NULL) < 0) // Initialize SDL + { + printf("Error of initializing SDL : %s", SDL_GetError()); + } + + // Create window + SDL_Window *fenetre; + + int w = image->w; // width of the bmp + int h = image->h; // height of the bmp + + fenetre = + SDL_CreateWindow("OCR", SDL_WINDOWPOS_CENTERED, SDL_WINDOWPOS_CENTERED, + w, h, SDL_WINDOW_RESIZABLE); + + if (fenetre == NULL) // if problem return error + { + printf("Error of creating window : %s", SDL_GetError()); + } + + SDL_BlitSurface(image, NULL, SDL_GetWindowSurface(fenetre), 0); + SDL_UpdateWindowSurface(fenetre); + + return fenetre; +} diff --git a/ImageTreatment/display.h b/ImageTreatment/display.h new file mode 100644 index 0000000..505c57a --- /dev/null +++ b/ImageTreatment/display.h @@ -0,0 +1,4 @@ +#include + +SDL_Window *display_img(SDL_Surface *image); +void wait_for_keypressed(); \ No newline at end of file diff --git a/ImageTreatment/extraction/extractchar.c b/ImageTreatment/extraction/extractchar.c new file mode 100644 index 0000000..bade20e --- /dev/null +++ b/ImageTreatment/extraction/extractchar.c @@ -0,0 +1,159 @@ +#include "extractchar.h" + +#include + +#include "../display.h" + +/* +Return the number of word in the current image +*/ +int countwc(SDL_Surface *img) +{ + int w = img->w; + Uint32 pixel = 0; + Uint8 r, g, b; + int count = 0; + + for (int i = 0; i < w; i++) + { + pixel = getpixel(img, i, 1); + SDL_GetRGB(pixel, img->format, &r, &g, &b); + if ((r == 1 && g == 100 && b == 100)) + { + count++; + } + } + + return count; +} + +/* +Return an array of the position of words in the current image +*/ +void ReturnPoswc(SDL_Surface *img, int *tab) +{ + int w = img->w; + Uint32 pixel = 0; + Uint8 r, g, b; + int count = 0; + + for (int i = 0; i < w; i++) + { + pixel = getpixel(img, i, 1); + SDL_GetRGB(pixel, img->format, &r, &g, &b); + if ((r == 1 && g == 100 && b == 100)) + { + tab[count] = i; + count++; + } + } +} + +/* +Create a new surface and extract the word for charactere segmentation +*/ +void extractword(SDL_Surface *img, int x, int y, Neural_Network *network, + char *str) +{ + SDL_Surface *new = CreateWhiteSurface(y - x + 1, img->h, img); + Uint32 pixel = 0; + + for (int i = x + 1; i < y; i++) + { + for (int j = 0; j < img->h; j++) + { + pixel = getpixel(img, i, j); + putpixel(new, i - x, j, pixel); + } + } + + SDL_SaveBMP(new, "final12.bmp"); + __extractchar(new, network, str); + SDL_FreeSurface(new); +} + +/* +Create a new surface and extract the caracters for neural network +*/ +void __extractword(SDL_Surface *img, Neural_Network *network, char *str) +{ + SDL_Surface *loadedImage = resize(img, 1218, 41); + cutword(loadedImage); + int count = countwc(loadedImage); + int *tab = malloc(sizeof(int) * count); + ReturnPoswc(loadedImage, tab); + + for (int i = 0; i < count - 1; i += 1) + { + extractword(loadedImage, tab[i], tab[i + 1], network, str); + char a[] = " "; + strcat(str, a); + } + + SDL_FreeSurface(loadedImage); + free(tab); +} + +int fullofwhite(SDL_Surface *img) +{ + Uint32 pixel = 0; + Uint8 r, g, b; + + for (int i = 0; i < img->h; i++) + { + for (int j = 0; j < img->w; j++) + { + pixel = getpixel(img, j, i); + SDL_GetRGB(pixel, img->format, &r, &g, &b); + if (r == 0 && g == 0 && b == 0) + { + return 1; + } + } + } + + return 0; +} + +void extractchar(SDL_Surface *img, int x, int y, Neural_Network *network, + char *str) +{ + SDL_Surface *new = CreateWhiteSurface(y - x + 1, img->h, img); + Uint32 pixel = 0; + + for (int i = x + 1; i < y; i++) + { + for (int j = 0; j < img->h; j++) + { + pixel = getpixel(img, i, j); + putpixel(new, i - x, j, pixel); + } + } + if (fullofwhite(new)) + { + double *letter = segmentationtomatrix(new, 20); + ForwardPass(letter, network); + free(letter); + char a[2]; + a[0] = indiceToChar(network->output); + a[1] = '\0'; + strcat(str, a); + } +} + +void __extractchar(SDL_Surface *img, Neural_Network *network, char *str) +{ + SDL_Surface *loadedImage = copy_image(img); + CutColumn(loadedImage, 0, img->h); + int count = countwc(loadedImage); + int *tab = malloc(sizeof(int) * count); + ReturnPoswc(loadedImage, tab); + + for (int i = 0; i < count - 1; i += 1) + { + extractchar(loadedImage, tab[i], tab[i + 1], network, str); + } + + SDL_FreeSurface(loadedImage); + free(tab); +} \ No newline at end of file diff --git a/ImageTreatment/extraction/extractchar.h b/ImageTreatment/extraction/extractchar.h new file mode 100644 index 0000000..8c3d114 --- /dev/null +++ b/ImageTreatment/extraction/extractchar.h @@ -0,0 +1,18 @@ +#ifndef _EXTRACTIONCHAR_H +#define _EXTRACTIONCHAR_H + +#include "../../NeuralNetwork/structure.h" +#include "../../NeuralNetwork/toolsnetworks.h" +#include "../../NeuralNetwork/traitement.h" +#include "../Segmentation/segmentation.h" + +void extractword(SDL_Surface *img, int x, int y, Neural_Network *network, + char *str); +int countwc(SDL_Surface *img); +void ReturnPoswc(SDL_Surface *img, int *tab); +void __extractword(SDL_Surface *img, Neural_Network *network, char *str); +void __extractchar(SDL_Surface *img, Neural_Network *network, char *str); +void extractchar(SDL_Surface *img, int x, int y, Neural_Network *network, + char *str); + +#endif \ No newline at end of file diff --git a/ImageTreatment/extraction/extraction.c b/ImageTreatment/extraction/extraction.c new file mode 100644 index 0000000..921e67b --- /dev/null +++ b/ImageTreatment/extraction/extraction.c @@ -0,0 +1,142 @@ +#include "extraction.h" + +#include + +#include "../Segmentation/segmentation.h" +#include "../display.h" +#include "extractchar.h" + +/* +Count the number of line and paragraph in the current image +*/ +int countlinepar(SDL_Surface *img) +{ + int h = img->h; + Uint32 pixel = 0; + Uint8 r, g, b; + int count = 0; + + for (int i = 0; i < h; i++) + { + pixel = getpixel(img, 1, i); + SDL_GetRGB(pixel, img->format, &r, &g, &b); + if ((r == 0 && g == 0 && b == 255) + || (r == 255 && g == 150 && b == 255)) + { + count++; + } + } + + return count; +} + +/* +Fill an array with the position of line and paragraph +*/ +void ReturnPosPar(SDL_Surface *img, int *tab) +{ + int h = img->h; + Uint32 pixel = 0; + Uint8 r, g, b; + int count = 0; + + for (int i = 0; i < h; i++) + { + pixel = getpixel(img, 1, i); + SDL_GetRGB(pixel, img->format, &r, &g, &b); + if ((r == 0 && g == 0 && b == 255) + || (r == 255 && g == 150 && b == 255)) + { + tab[count] = i; + count++; + } + } +} + +/* +Create a new surface and paragraph for line segmentation +*/ +void extractpar(SDL_Surface *img, int x, int y, Neural_Network *network, + char *str) +{ + SDL_Surface *new = CreateWhiteSurface(img->w, y - x + 1, img); + Uint32 pixel = 0; + + for (int i = 0; i < img->w; i++) + { + for (int j = x + 1; j < y; j++) + { + pixel = getpixel(img, i, j); + putpixel(new, i, j - x, pixel); + } + } + + __extractline(new, network, str); + SDL_FreeSurface(new); +} + +void __extractpar(SDL_Surface *img, Neural_Network *network, char *str) +{ + SDL_Surface *imagev = copy_image(img); + SDL_Surface *imagerlsa = copy_image(img); + SDL_Surface *copy_image1 = copy_image(img); + blockDetection_vertical(imagev); + drawBlocks(imagerlsa, imagev); + drawBlocksLines(copy_image1, imagerlsa); + int count = countlinepar(copy_image1); + int *tab = malloc(sizeof(int) * count); + ReturnPosPar(copy_image1, tab); + + for (int i = 0; i < count - 1; i += 2) + { + extractpar(copy_image1, tab[i], tab[i + 1], network, str); + char a[] = "\n\n\n"; + strcat(str, a); + } + + SDL_FreeSurface(imagerlsa); + SDL_FreeSurface(imagev); + SDL_FreeSurface(copy_image1); + free(tab); +} + +/* +Create a new surface and extract the line for word segmentation +*/ +void extractline(SDL_Surface *img, int x, int y, Neural_Network *network, + char *str) +{ + SDL_Surface *new = CreateWhiteSurface(img->w, y - x + 1, img); + Uint32 pixel = 0; + + for (int i = 0; i < img->w; i++) + { + for (int j = x + 1; j < y; j++) + { + pixel = getpixel(img, i, j); + putpixel(new, i, j - x, pixel); + } + } + + __extractword(new, network, str); + SDL_FreeSurface(new); +} + +void __extractline(SDL_Surface *img, Neural_Network *network, char *str) +{ + SDL_Surface *copy = copy_image(img); + CutLines(copy, 0); + int count = countlinepar(copy); + int *tab = malloc(sizeof(int) * count); + ReturnPosPar(copy, tab); + + for (int i = 0; i < count - 1; i += 2) + { + extractline(copy, tab[i], tab[i + 1], network, str); + char a[] = "\n"; + strcat(str, a); + } + + SDL_FreeSurface(copy); + free(tab); +} diff --git a/ImageTreatment/extraction/extraction.h b/ImageTreatment/extraction/extraction.h new file mode 100644 index 0000000..58a94c6 --- /dev/null +++ b/ImageTreatment/extraction/extraction.h @@ -0,0 +1,16 @@ +#ifndef _EXTRACTION_H +#define _EXTRACTION_H + +#include "../../NeuralNetwork/structure.h" +#include "../Segmentation/segmentation.h" + +void extractpar(SDL_Surface *img, int x, int y, Neural_Network *network, + char *str); +int countlinepar(SDL_Surface *img); +void ReturnPosPar(SDL_Surface *img, int *tab); +void __extractpar(SDL_Surface *img, Neural_Network *network, char *str); +void __extractline(SDL_Surface *img, Neural_Network *network, char *str); +void extractline(SDL_Surface *img, int x, int y, Neural_Network *network, + char *str); + +#endif \ No newline at end of file diff --git a/Makefile b/Makefile new file mode 100644 index 0000000..b29322e --- /dev/null +++ b/Makefile @@ -0,0 +1,62 @@ +CC=gcc +CPPFLAGS= -MMD `pkg-config --cflags gtk+-3.0` +CFLAGS= -Wall -Wextra -std=c99 -g -D_XOPEN_SOURCE=600 +LDLIBS= `pkg-config --libs gtk+-3.0` -lSDL2 -lm -rdynamic +EXEC= OCR + + +all: $(EXEC) + + +OCR: main.o segmentation.o cleanerimage.o tools.o display.o extraction.o extractchar.o structure.o training.o toolsnetworks.o traitement.o Load.o + $(CC) -o OCR main.o segmentation.o cleanerimage.o tools.o display.o extraction.o extractchar.o structure.o training.o toolsnetworks.o Load.o traitement.o $(LDLIBS) + rm -rf *.o *.d + + +main.o: main.c + $(CC) -o main.o -c main.c $(CFLAGS) $(CPPFLAGS) + +segmentation.o: ImageTreatment/Segmentation/segmentation.c + $(CC) -o segmentation.o -c ImageTreatment/Segmentation/segmentation.c $(CFLAGS) $(CPPFLAGS) + +cleanerimage.o: ImageTreatment/Filter/cleanerimage.c + $(CC) -o cleanerimage.o -c ImageTreatment/Filter/cleanerimage.c $(CFLAGS) $(CPPFLAGS) + +tools.o: ImageTreatment/Tools/tools.c + $(CC) -o tools.o -c ImageTreatment/Tools/tools.c $(CFLAGS) $(CPPFLAGS) -lm + +display.o: ImageTreatment/display.c + $(CC) -o display.o -c ImageTreatment/display.c $(CFLAGS) $(CPPFLAGS) + +extraction.o: ImageTreatment/extraction/extraction.c + $(CC) -o extraction.o -c ImageTreatment/extraction/extraction.c $(CFLAGS) $(CPPFLAGS) + +extractchar.o: ImageTreatment/extraction/extractchar.c + $(CC) -o extractchar.o -c ImageTreatment/extraction/extractchar.c $(CFLAGS) $(CPPFLAGS) + +structure.o: NeuralNetwork/structure.c + $(CC) -o structure.o -c NeuralNetwork/structure.c $(CFLAGS) $(CPPFLAGS) + +training.o: NeuralNetwork/training.c + $(CC) -o training.o -c NeuralNetwork/training.c $(CFLAGS) $(CPPFLAGS) + +toolsnetworks.o: NeuralNetwork/toolsnetworks.c + $(CC) -o toolsnetworks.o -c NeuralNetwork/toolsnetworks.c $(CFLAGS) $(CPPFLAGS) + +traitement.o: NeuralNetwork/traitement.c + $(CC) -o traitement.o -c NeuralNetwork/traitement.c $(CFLAGS) $(CPPFLAGS) + +Load.o: NeuralNetwork/Load.c + $(CC) -o Load.o -c NeuralNetwork/Load.c $(CFLAGS) $(CPPFLAGS) + + + +Test: main.c + $(CC) -o main.o -c main.c $(CFLAGS) $(CPPFLAGS) + + +clean: + rm -rf *.o *.d OCR + + + diff --git a/NeuralNetwork/Load.c b/NeuralNetwork/Load.c new file mode 100644 index 0000000..d498731 --- /dev/null +++ b/NeuralNetwork/Load.c @@ -0,0 +1,171 @@ +#include "Load.h" + +double *resizearray(double *img, int w, int h, int x, int y) +{ + double *image = (double *)calloc(x * y, sizeof(double)); + float ratioX = (float)w / x; + float ratioY = (float)h / y; + for (int i = 0; i < x; ++i) + { + for (int j = 0; j < y; ++j) + { + image[i * x + j] = + img[((int)(i * ratioY)) * w + ((int)(j * ratioX))]; + } + } + return image; +} + +int FindBlackPixelrow(double *img, int w, int x) +{ + int bool = 0; + /*A boolean that memorize if the line contain black pixel or not*/ + double pixel; + + for (int i = 0; i < w; i++) + { + pixel = img[x * w + i]; + if (pixel == 1) + { + bool = 1; + break; + } + } + return bool; +} + +int FindBlackPixelcol(double *img, int w, int h, int x) +{ + int bool = 0; + /*A boolean that memorize if the line contain black pixel or not*/ + double pixel; + + for (int i = 0; i < h; i++) + { + pixel = img[i * w + x]; + if (pixel == 1) + { + bool = 1; + break; + } + } + return bool; +} + +void get_binerize_matrix(SDL_Surface *img, double *image) +{ + /* Variables */ + Uint32 pixel; + Uint8 r; + Uint8 g; + Uint8 b; + int w = img->w; + int h = img->h; + + for (int i = 0; i < h; i++) + { + for (int j = 0; j < w; j++) + { + pixel = getpixel(img, j, i); + SDL_GetRGB(pixel, img->format, &r, &g, &b); + + Uint32 average = (r + b + g) / 3; + + if (average > 150) /*we can make an average here*/ + image[i * w + j] = 0.0; + else + image[i * w + j] = 1.0; + } + } +} + +double *resizechar(SDL_Surface *img, int size) +{ + int startcol = 0; + int endcol = 0; + int startrow = 0; + int endrow = 0; + + int img_w = img->w; + int img_h = img->h; + + double *img_array = (double *)malloc(img_h * img_w * sizeof(double)); + + get_binerize_matrix(img, img_array); + + for (int i = 0; i < img_w; i++) + { + if (FindBlackPixelcol(img_array, img_w, img_h, i)) + { + startcol = i; + break; + } + } + for (int i = img_w - 1; i >= 0; i--) + { + if (FindBlackPixelcol(img_array, img_w, img_h, i)) + { + endcol = i + 1; + break; + } + } + for (int i = 0; i < img_h; i++) + { + if (FindBlackPixelrow(img_array, img_w, i)) + { + startrow = i; + break; + } + } + for (int i = img_h - 1; i >= 0; i--) + { + if (FindBlackPixelrow(img_array, img_w, i)) + { + endrow = i + 1; + break; + } + } + + double *img_carre; + int img_carre_size; + int lencol = endcol - startcol; + int lenrow = endrow - startrow; + + if (lencol > lenrow) + { + img_carre_size = lencol; + img_carre = (double *)calloc(lencol * lencol, sizeof(double)); + int start = lencol / 2 - lenrow / 2; + for (int k = startrow; k < endrow; k++) + { + for (int z = startcol; z < endcol; z++) + { + img_carre[(k - startrow + start) * lencol + z - startcol] = + img_array[k * img_w + z]; + } + } + } + else + { + img_carre_size = lenrow; + img_carre = (double *)calloc(lenrow * lenrow, sizeof(double)); + int start = lenrow / 2 - lencol / 2; + for (int k = startrow; k < endrow; k++) + { + for (int z = startcol; z < endcol; z++) + { + img_carre[(k - startrow) * lenrow + z - startcol + start] = + img_array[k * img_w + z]; + } + } + } + + double *image; + image = resizearray(img_carre, img_carre_size, img_carre_size, size, size); + + SDL_FreeSurface(img); + free(img_array); + free(img_carre); + + return image; +} diff --git a/NeuralNetwork/Load.h b/NeuralNetwork/Load.h new file mode 100644 index 0000000..4f5fda4 --- /dev/null +++ b/NeuralNetwork/Load.h @@ -0,0 +1,21 @@ +#ifndef LOAD_H +#define LOAD_H + +#include +#include +#include +#include + +#include "../ImageTreatment/Tools/tools.h" + +int FindBlackPixelrow(double *img, int w, int x); + +int FindBlackPixelcol(double *img, int w, int h, int x); + +double *resizechar(SDL_Surface *img, int size); + +double *resizearray(double *img, int w, int h, int x, int y); + +void get_binerize_matrix(SDL_Surface *img, double *image); + +#endif diff --git a/NeuralNetwork/structure.c b/NeuralNetwork/structure.c new file mode 100644 index 0000000..76f9dc4 --- /dev/null +++ b/NeuralNetwork/structure.c @@ -0,0 +1,135 @@ +#include "structure.h" + +#include +#include +#include +#include +#include + +#include "toolsnetworks.h" +#include "training.h" +#include "traitement.h" + +// Definition des structure du reseau de neurone + +Neural_Network_Cell Create_Cell(int nb_weight) +{ + Neural_Network_Cell cell; + cell.nb_weight = nb_weight; + cell.biais = 0; + cell.output = 0; + cell.weights = (double *)malloc(nb_weight * sizeof(double)); + cell.previous_dError = (double *)malloc(nb_weight * sizeof(double)); + return cell; +} + +Neural_Network_Layer Create_Layer(int nb_cell, int nb_weight) +{ + Neural_Network_Layer layer; + layer.nb_cells = nb_cell; + layer.cells = + (Neural_Network_Cell *)malloc(nb_cell * sizeof(Neural_Network_Cell)); + + for (int i = 0; i < nb_cell; i++) + { + *(layer.cells + i) = Create_Cell(nb_weight); + } + return layer; +} + +void Free_Network(Neural_Network *network) +{ + for (int i = 0; i < network->nb_layers; i++) + { + for (int j = 0; j < network->layers[i].nb_cells; j++) + { + free(network->layers[i].cells[j].weights); + free(network->layers[i].cells[j].previous_dError); + } + free(network->layers[i].cells); + } + free(network->layers); + free(network); +} + +int getIndiceMax(Neural_Network *network) +{ + Neural_Network_Layer layer = network->layers[network->nb_layers - 1]; + int i_max = 0; + for (int i = 0; i < layer.nb_cells; i++) + { + if (layer.cells[i].output > layer.cells[i_max].output) + i_max = i; + } + return i_max; +} + +int Save_Network(Neural_Network *network, char *filename) +{ + FILE *file; + char path[100]; + sprintf(path, "src/SaveNeuralNetwork/%s", filename); + file = fopen(path, "w"); + + if (!file) + return 0; + + for (int i = 0; i < network->nb_layers; i++) + { + int nb_c = network->layers[i].nb_cells; + + for (int j = 0; j < nb_c; j++) + { + int nb_w = network->layers[i].cells[j].nb_weight; + + for (int k = 0; k < nb_w; k++) + { + fprintf(file, "%f\n", network->layers[i].cells[j].weights[k]); + } + + fprintf(file, "%f\n", network->layers[i].cells[j].biais); + } + } + + fclose(file); + return 1; +} + +int Load_Network(Neural_Network *network, char *filename) +{ + FILE *file; + char path[100]; + sprintf(path, "src/SaveNeuralNetwork/%s", filename); + file = fopen(path, "r"); + + if (!file) + return 0; + + char *cvalue = calloc(128, sizeof(char)); + double value; + char *ptr; + + for (int i = 0; i < network->nb_layers; i++) + { + int nb_c = network->layers[i].nb_cells; + + for (int j = 0; j < nb_c; j++) + { + int nb_w = network->layers[i].cells[j].nb_weight; + + for (int k = 0; k < nb_w; k++) + { + fgets(cvalue, 128, file); + value = strtod(cvalue, &ptr); + network->layers[i].cells[j].weights[k] = value; + } + + fgets(cvalue, 128, file); + value = strtod(cvalue, &ptr); + network->layers[i].cells[j].biais = value; + } + } + + free(cvalue); + return 1; +} diff --git a/NeuralNetwork/structure.h b/NeuralNetwork/structure.h new file mode 100644 index 0000000..c1fad9c --- /dev/null +++ b/NeuralNetwork/structure.h @@ -0,0 +1,36 @@ +#ifndef STRUCTURE_H +#define STRUCTURE_H + +typedef struct +{ + int nb_weight; + double *weights; + double *previous_dError; + double biais; + double output; +} Neural_Network_Cell; + +typedef struct +{ + int nb_cells; + Neural_Network_Cell *cells; +} Neural_Network_Layer; + +typedef struct +{ + int nboutput; + int nb_layers; + Neural_Network_Layer *layers; + double output; +} Neural_Network; + +Neural_Network_Cell Create_Cell(int nb_weight); +Neural_Network_Layer Create_Layer(int nb_cell, int nb_weight); + +void Free_Network(Neural_Network *network); + +int getIndiceMax(Neural_Network *network); +int Save_Network(Neural_Network *network, char *filename); +int Load_Network(Neural_Network *network, char *filename); + +#endif diff --git a/NeuralNetwork/toolsnetworks.c b/NeuralNetwork/toolsnetworks.c new file mode 100644 index 0000000..6de5a9f --- /dev/null +++ b/NeuralNetwork/toolsnetworks.c @@ -0,0 +1,98 @@ +#include "toolsnetworks.h" + +#include +#include +#include +#include +#include +#include +#include + +#include "Load.h" +#include "structure.h" +#include "training.h" +#include "traitement.h" + +// Definition des fonctions de type outils et fonctions mathématiques + +float my_rand(void) +{ + return ((float)(rand() % 10000) / 5000) - 1; +} + +double sigmoid(double val) +{ + return (1.0 / (1.0 + exp(-1.0 * val))); +} + +void softmax(Neural_Network_Layer *layer) +{ + double min = 0; + for (int i = 0; i < layer->nb_cells; i++) + { + if (layer->cells[i].output < min) + min = layer->cells[i].output; + } + + double somme = 0; + for (int i = 0; i < layer->nb_cells; i++) + { + layer->cells[i].output -= min; + somme += exp(layer->cells[i].output); + } + + for (int i = 0; i < layer->nb_cells; i++) + { + layer->cells[i].output = (exp(layer->cells[i].output) / somme); + } +} + +char indiceToChar(int indice) +{ + if (indice < 26) + return indice + 97; + else if (indice < 52) + return indice + 39; + else if (indice < 62) + return indice - 4; + else + { + if (indice == 62) + return 46; + else if (indice == 63) + return 44; + else + return 39; + } +} + +double *imagetomatrix(char *str, int size) +{ + SDL_Surface *loadedImage = 0; + loadedImage = SDL_LoadBMP(str); + double *img = NULL; + + if (!loadedImage) + { + printf("Can't find the bmp file, %s\n", str); + return img; + } + + img = resizechar(loadedImage, size); + return img; +} + +double *segmentationtomatrix(SDL_Surface *loadedImage, int size) +{ + double *img = NULL; + + if (!loadedImage) + { + printf("Can't find the bmp file\n"); + return img; + } + + img = resizechar(loadedImage, size); + + return img; +} diff --git a/NeuralNetwork/toolsnetworks.h b/NeuralNetwork/toolsnetworks.h new file mode 100644 index 0000000..6591df1 --- /dev/null +++ b/NeuralNetwork/toolsnetworks.h @@ -0,0 +1,19 @@ +#ifndef TOOLS__NETWORKS_H +#define TOOLS__NETWORKS_H + +#include + +#include "structure.h" + +float my_rand(void); + +void softmax(Neural_Network_Layer *layer); + +char indiceToChar(int indice); + +double sigmoid(double val); + +double *imagetomatrix(char *str, int size); +double *segmentationtomatrix(SDL_Surface *loadedImage, int size); + +#endif diff --git a/NeuralNetwork/training.c b/NeuralNetwork/training.c new file mode 100644 index 0000000..d444908 --- /dev/null +++ b/NeuralNetwork/training.c @@ -0,0 +1,87 @@ +#include "training.h" + +#include +#include +#include +#include +#include + +#include "structure.h" +#include "toolsnetworks.h" +#include "traitement.h" + +#define NB_OUTPUT 65 + +void training(Neural_Network *network, int nb_repetition) +{ + int nbchar = 65; + int nbimageschar = 53; + int datasetsize = nbchar * nbimageschar; + + // On construit les tableaux input de taille nbrepetition, et on initialise + // en même temps le coût attendu à 0 pour toutres les répétitions (on a + // nbrépétition tableaux de taille 63 initialisés à 0). + double **input = (double **)malloc(datasetsize * sizeof(double *)); + double **cost = (double **)malloc(datasetsize * sizeof(double)); + + char str[100]; + + for (int i = 0; i < datasetsize; i++) + { + cost[i] = (double *)calloc(NB_OUTPUT, sizeof(double)); + } + + for (int i = 0; i < nbimageschar; i++) + { + for (int j = 0; j < nbchar; j++) + { + sprintf(str, "src/Dataset/image-%d-%d.bmp", j, i + 1); + input[i * nbchar + j] = imagetomatrix(str, 20); + cost[i * nbchar + j][j] = 1; + } + } + + double err = 1.0; + + for (int i = 0; i < nb_repetition; i++) + { + err = 0; + + for (int j = 0; j < datasetsize; j++) + { + // On fait ensuite appel au ForwardPass sur cette itération <=> on + // voit ce que renvoie notre réseau pour la matrice de pixel + // correspondant à l'image récupérée. + ForwardPass(input[j], network); + + double tmp_err = 0.0; + + for (int k = 0; k < NB_OUTPUT; k++) + { + tmp_err += (cost[j][k] - network->layers[1].cells[k].output) + * (cost[j][k] - network->layers[1].cells[k].output); + } + + tmp_err /= NB_OUTPUT; + err += tmp_err; + + BackwardPass(cost[j], input[j], network); + } + + err /= datasetsize; + printf("Erreur : %f\n", err); + } + + for (int i = 0; i < datasetsize; i++) + { + free(input[i]); + } + + for (int i = 0; i < datasetsize; i++) + { + free(cost[i]); + } + + free(input); + free(cost); +} diff --git a/NeuralNetwork/training.h b/NeuralNetwork/training.h new file mode 100644 index 0000000..1a49037 --- /dev/null +++ b/NeuralNetwork/training.h @@ -0,0 +1,8 @@ +#ifndef TRAINING_H +#define TRAINING_H + +#include "structure.h" + +void training(Neural_Network *network, int nb_repetition); + +#endif diff --git a/NeuralNetwork/traitement.c b/NeuralNetwork/traitement.c new file mode 100644 index 0000000..578ca87 --- /dev/null +++ b/NeuralNetwork/traitement.c @@ -0,0 +1,129 @@ +#include "traitement.h" + +#include +#include +#include +#include + +#include "structure.h" +#include "toolsnetworks.h" +#include "training.h" + +#define NB_PIXEL 400 +#define NB_OUTPUT 65 +#define DELTA 0.2 + +// Fonctions de traitement du reseau de neurone : Initialisation, Forwardpass +// et backpropagation. + +void Initialisation(Neural_Network *network) +{ + network->nb_layers = 2; + network->layers = (Neural_Network_Layer *)malloc( + network->nb_layers * sizeof(Neural_Network_Layer)); + network->layers[0] = Create_Layer((int)NB_PIXEL * 2 / 3, NB_PIXEL); + network->layers[1] = Create_Layer(NB_OUTPUT, (int)NB_PIXEL * 2 / 3); + network->output = 0.0; + network->nboutput = NB_OUTPUT; + + for (int i = 0; i < network->nb_layers; i++) + { + for (int j = 0; j < network->layers[i].nb_cells; j++) + { + network->layers[i].cells[j].biais = my_rand(); + for (int k = 0; k < network->layers[i].cells[j].nb_weight; k++) + { + network->layers[i].cells[j].weights[k] = my_rand(); + } + } + } +} + +void ForwardPass(double entries[], Neural_Network *network) +{ + // Le passage de Xor à OCR est similaire pour le traitement du premier + // layer. + Neural_Network_Layer layer, previous_layer; + + // First Layer treatment + layer = (*network).layers[0]; + for (int i = 0; i < layer.nb_cells; i++) + { + Neural_Network_Cell cell = layer.cells[i]; + double tmp = cell.biais; + for (int j = 0; j < cell.nb_weight; j++) + { + tmp += cell.weights[j] * entries[j]; + } + + (*network).layers[0].cells[i].output = sigmoid(tmp); + } + + // Cette fois, on a plus qu'un noeud en output, donc plus de network.output + // en int, mais on peut mettre un char à la place pour accéder au résultat + // renvoyé par notre réseau. + + // Output Layer treatment + layer = (*network).layers[(*network).nb_layers - 1]; + previous_layer = (*network).layers[0]; + + for (int i = 0; i < layer.nb_cells; i++) + { + Neural_Network_Cell cell = layer.cells[i]; + double tmp = cell.biais; + + for (int k = 0; k < cell.nb_weight; k++) + { + tmp += cell.weights[k] * previous_layer.cells[k].output; + } + + (*network).layers[1].cells[i].output = tmp; + } + + softmax(&layer); + (*network).output = getIndiceMax(network); +} + +void BackwardPass(double *expected, double *entries, Neural_Network *network) +{ + for (int i = 0; i < network->nboutput; i++) + { + double cell_output = (*network).layers[1].cells[i].output; + double dCell_output = cell_output * (1 - cell_output); + double dError = (expected[i] - cell_output); + + for (int j = 0; j < (*network).layers[1].cells[i].nb_weight; j++) + { + double f = (*network).layers[0].cells[j].output; + + (*network).layers[1].cells[i].previous_dError[j] = + (*network).layers[1].cells[i].weights[j] * dCell_output + * dError; + + (*network).layers[1].cells[i].weights[j] += + DELTA * f * dCell_output * dError; + } + + (*network).layers[1].cells[i].biais += DELTA * dCell_output * dError; + } + + for (int i = 0; i < (*network).layers[0].nb_cells; i++) + { + double cell_output = (*network).layers[0].cells[i].output; + double dg = cell_output * (1 - cell_output); + double dError = 0; + + for (int j = 0; j < (*network).layers[1].nb_cells; j++) + { + dError += (*network).layers[1].cells[j].previous_dError[i]; + } + + for (int j = 0; j < (*network).layers[0].cells[i].nb_weight; j++) + { + double f = entries[j]; + (*network).layers[0].cells[i].weights[j] += DELTA * f * dg * dError; + } + + (*network).layers[0].cells[i].biais += DELTA * dg * dError; + } +} diff --git a/NeuralNetwork/traitement.h b/NeuralNetwork/traitement.h new file mode 100644 index 0000000..0935825 --- /dev/null +++ b/NeuralNetwork/traitement.h @@ -0,0 +1,11 @@ +#ifndef TRAITEMENT_H +#define TRAITEMENT_H +#include "structure.h" + +void Initialisation(Neural_Network *network); + +void ForwardPass(double entries[], Neural_Network *network); + +void BackwardPass(double *expected, double *entries, Neural_Network *network); + +#endif diff --git a/README.md b/README.md new file mode 100644 index 0000000..924b03c --- /dev/null +++ b/README.md @@ -0,0 +1,20 @@ +# OCR + +This project implement an OCR in C. The OCR use a one layer neural network to reconise charactere. + +## Compile + +You can use this program with this command + +``` +make +./OCR +``` + +When the program run you should first load an image in BitMap format + +Then you can upgrade the quality of your image with our different options. When you are ready simply press ```play``` + +## Clean + +Use ```make clean``` to delete all trash files \ No newline at end of file diff --git a/all.h b/all.h new file mode 100644 index 0000000..c13ed1c --- /dev/null +++ b/all.h @@ -0,0 +1,10 @@ +#include "ImageTreatment/Filter/cleanerimage.h" +#include "ImageTreatment/Segmentation/segmentation.h" +#include "ImageTreatment/Tools/tools.h" +#include "ImageTreatment/display.h" +#include "ImageTreatment/extraction/extractchar.h" +#include "ImageTreatment/extraction/extraction.h" +#include "NeuralNetwork/structure.h" +#include "NeuralNetwork/toolsnetworks.h" +#include "NeuralNetwork/training.h" +#include "NeuralNetwork/traitement.h" diff --git a/images/temp.bmp b/images/temp.bmp new file mode 100644 index 0000000000000000000000000000000000000000..f5947a97aea3cd2aa418a9ebb47160d2f2bebb38 GIT binary patch literal 929366 zcmeFa-%Dg!o-f+x{sH&-KHkT>*bsCC7^IetV&cgYL`tPCT3JMntf`$zwG?f$`++K0y%BftnS0*nA7zzAGd1b%c~JI?)P1Q-EEfDvE>7y*yt 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gtk_builder_new(); + gtk_builder_add_from_file(builder, "main.glade", NULL); + window = GTK_WIDGET(gtk_builder_get_object(builder, "window")); + gtk_builder_connect_signals(builder, NULL); + final = GTK_WIDGET(gtk_builder_get_object(builder, "final")); + textBox = GTK_WIDGET(gtk_builder_get_object(builder, "textBox")); + ninety = GTK_WIDGET(gtk_builder_get_object(builder, "ninety")); + oneeighty = GTK_WIDGET(gtk_builder_get_object(builder, "oneeighty")); + segm = GTK_WIDGET(gtk_builder_get_object(builder, "segmentation")); + grays = GTK_WIDGET(gtk_builder_get_object(builder, "grayscale")); + contra = GTK_WIDGET(gtk_builder_get_object(builder, "contrastes")); + biner = GTK_WIDGET(gtk_builder_get_object(builder, "binarisation")); + play = GTK_WIDGET(gtk_builder_get_object(builder, "lanceTout")); + noise = GTK_WIDGET(gtk_builder_get_object(builder, "noise")); + rotation = GTK_WIDGET(gtk_builder_get_object(builder, "rotation")); + nette = GTK_WIDGET(gtk_builder_get_object(builder, "nettete")); + g_object_unref(builder); + gtk_widget_show(window); + g_signal_connect(window, "destroy", G_CALLBACK(gtk_main_quit), NULL); + gtk_main(); + + return 0; +} + +SDL_Surface *load_image(char *path) +{ + SDL_Surface *img; + img = SDL_LoadBMP(path); + if (!img) + errx(3, "Can't load %s: %s", path, SDL_GetError()); + return img; +} + +void choose_image(char *file) +{ + gtk_widget_set_sensitive(ninety, TRUE); + gtk_widget_set_sensitive(segm, TRUE); + gtk_widget_set_sensitive(play, TRUE); + gtk_widget_set_sensitive(grays, TRUE); + gtk_widget_set_sensitive(contra, TRUE); + gtk_widget_set_sensitive(biner, TRUE); + gtk_widget_set_sensitive(noise, TRUE); + gtk_widget_set_sensitive(rotation, TRUE); + gtk_widget_set_sensitive(oneeighty, TRUE); + gtk_widget_set_sensitive(nette, TRUE); + surf = load_image(file); + SDL_SaveBMP(surf, "images/temp.bmp"); + SDL_FreeSurface(surf); +} + +void file_selected(GtkWidget *filechooserbutton) +{ + char *filename = + gtk_file_chooser_get_filename(GTK_FILE_CHOOSER(filechooserbutton)); + printf("%s\n", filename); + choose_image(filename); +} + +// Il faut juste que tu mettes tes fonctions à la place des commentaires. Si +// jamais tu as pas certaines fonctions par exemple pour recup le resultat du +// reseau de neurones dis le moi et je les demanderai à Axelle ou Brice. + +// Pour les fonctions, l'image à modifier est sauvegardée dans le fichier +// images/temp.bmp + +void play_button() +{ + GtkTextBuffer *buffer = gtk_text_view_get_buffer(GTK_TEXT_VIEW(textBox)); + GtkTextIter iter; + gtk_text_buffer_get_iter_at_offset(buffer, &iter, 0); + char *result = calloc(sizeof(char), 10000); + + // result sera le texte final + // traitement de l'image (dans le fichier images/temp.bmp) + // segmentation de l'image + // envoi au reseau de neurones + // stockage du resultat du reseau de neurones dans la variable result + SDL_Surface *loadedImage = SDL_LoadBMP("images/temp.bmp"); + binerize(loadedImage); + Neural_Network *network = (Neural_Network *)malloc(sizeof(Neural_Network)); + Initialisation(network); + Load_Network(network, "SaveNetwork.txt"); + __extractpar(loadedImage, network, result); + Free_Network(network); + SDL_FreeSurface(loadedImage); + gtk_text_buffer_insert(buffer, &iter, result, -1); + free(result); + gtk_widget_show(final); + gtk_widget_hide(window); +} + +void nettete() +{ + static float SharpenMatrix[3][3] = { { 0.0, -1.0, 0.0 }, + { -1.0, 5.0, -1.0 }, + { 0.0, -1.0, 0.0 } }; + SDL_Surface *loadedImage = SDL_LoadBMP("images/temp.bmp"); + SDL_Window *window = display_img(loadedImage); + wait_for_keypressed(); + SDL_DestroyWindow(window); + loadedImage = Convolute(loadedImage, SharpenMatrix); + window = display_img(loadedImage); + SDL_SaveBMP(loadedImage, "images/temp.bmp"); + wait_for_keypressed(); + SDL_DestroyWindow(window); + SDL_FreeSurface(loadedImage); +} + +void plus_oneeighty() +{ + SDL_Surface *loadedImage = SDL_LoadBMP("images/temp.bmp"); + SDL_Window *window = display_img(loadedImage); + wait_for_keypressed(); + SDL_DestroyWindow(window); + grayscale(loadedImage); + binerize(loadedImage); + loadedImage = rotate(180, loadedImage); + window = display_img(loadedImage); + SDL_SaveBMP(loadedImage, "images/temp.bmp"); + wait_for_keypressed(); + SDL_DestroyWindow(window); + SDL_FreeSurface(loadedImage); +} + +void plus_ninety() +{ + SDL_Surface *loadedImage = SDL_LoadBMP("images/temp.bmp"); + SDL_Window *window = display_img(loadedImage); + wait_for_keypressed(); + SDL_DestroyWindow(window); + grayscale(loadedImage); + binerize(loadedImage); + loadedImage = rotate(90, loadedImage); + window = display_img(loadedImage); + SDL_SaveBMP(loadedImage, "images/temp.bmp"); + wait_for_keypressed(); + SDL_DestroyWindow(window); + SDL_FreeSurface(loadedImage); +} + +void gray() +{ + // grayscale +} + +void bine() +{ + // binarisation +} + +void seg() +{} + +void cont() +{ + SDL_Surface *loadedImage = SDL_LoadBMP("images/temp.bmp"); + SDL_Window *window = display_img(loadedImage); + wait_for_keypressed(); + SDL_DestroyWindow(window); + ConstrastRenforcement(loadedImage, 100); + window = display_img(loadedImage); + wait_for_keypressed(); + SDL_DestroyWindow(window); + SDL_FreeSurface(loadedImage); +} + +void rot() +{ + SDL_Surface *loadedImage = SDL_LoadBMP("images/temp.bmp"); + SDL_Window *window = display_img(loadedImage); + wait_for_keypressed(); + SDL_DestroyWindow(window); + binerize(loadedImage); + grayscale(loadedImage); + double teta = houghtrasformy(loadedImage); + teta -= 90; + loadedImage = rotate(teta, loadedImage); + window = display_img(loadedImage); + SDL_SaveBMP(loadedImage, "images/temp.bmp"); + wait_for_keypressed(); + SDL_DestroyWindow(window); + SDL_FreeSurface(loadedImage); +} + +void noise_reduction() +{ + SDL_Surface *loadedImage = SDL_LoadBMP("images/temp.bmp"); + SDL_Window *window = display_img(loadedImage); + wait_for_keypressed(); + SDL_DestroyWindow(window); + noiseReduction(loadedImage); + window = display_img(loadedImage); + wait_for_keypressed(); + SDL_DestroyWindow(window); +} + +void on_quit_clicked() +{ + gtk_main_quit(); +} diff --git a/main.glade b/main.glade new file mode 100644 index 0000000..717e016 --- /dev/null +++ b/main.glade @@ -0,0 +1,320 @@ + + + + + + + *.bmp + + + + window + False + 0.9 + window + center + utility + True + + + + True + False + + + Play + play + 100 + 80 + True + False + True + True + immediate + + + + 400 + 55 + + + + + 100 + 30 + True + False + Choose a file + 0.06 + + + 50 + 20 + + + + + +90° + ninety + 100 + 80 + True + False + True + True + immediate + + + + 410 + 250 + + + + + 150 + 80 + True + False + OCRigolo + center + middle + + + + + + + + + + 200 + 40 + + + + + gtk-quit + 500 + 28 + True + True + True + start + 5 + 5 + 5 + 5 + 5 + True + 0.44999998807907104 + True + + + + 25 + 330 + + + + + chooser + 100 + 80 + True + False + filefilter1 + + + + 50 + 55 + + + + + grayscale + grays + 100 + 80 + True + False + True + True + immediate + + + + 40 + 150 + + + + + binerize + biner + 100 + 80 + True + False + True + True + immediate + + + + 165 + 250 + + + + + contrasts + contra + 100 + 80 + True + False + True + True + 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