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62 lines
2.5 KiB
62 lines
2.5 KiB
/*
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* Programming introduction with the SOD Embedded Image Processing API.
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* Copyright (C) PixLab | Symisc Systems, https://sod.pixlab.io
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*/
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/*
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* Compile this file together with the SOD embedded source code to generate
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* the executable. For example:
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*
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* gcc sod.c hilditch_thin.c -lm -Ofast -march=native -Wall -std=c99 -o sod_img_proc
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*
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* Under Microsoft Visual Studio (>= 2015), just drop `sod.c` and its accompanying
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* header files on your source tree and you're done. If you have any trouble
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* integrating SOD in your project, please submit a support request at:
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* https://sod.pixlab.io/support.html
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*/
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/*
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* This simple program is a quick introduction on how to embed and start
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* experimenting with SOD without having to do a lot of tedious
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* reading and configuration.
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*
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* Make sure you have the latest release of SOD from:
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* https://pixlab.io/downloads
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* The SOD Embedded C/C++ documentation is available at:
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* https://sod.pixlab.io/api.html
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*/
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#include <stdio.h>
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#include "sod.h"
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/*
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* Perform Hilditch thinning on an input image.
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*
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* Skeletonization is useful when we are interested not in the size of the pattern but rather
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* in the relative position of the strokes in the pattern (Character Recognition,
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* X, Y Chromosome Recognition, etc.).
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* The target image must be binary (i.e. images whose pixels have only two possible intensity
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* value mostly black or white). You can obtain a binary image via sod_canny_edge_image(),
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* sod_otsu_binarize_image(), sod_binarize_image() or sod_threshold_image().
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*/
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int main(int argc, char *argv[])
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{
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/* Input image (pass a path or use the test image shipped with the samples ZIP archive) */
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const char *zInput = argc > 1 ? argv[1] : "./acgt.png";
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/* Processed output image path */
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const char *zOut = argc > 2 ? argv[2] : "./out_hilditch.png";
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/* Load the input image in the grayscale colorspace */
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sod_img imgIn = sod_img_load_from_file(zInput, SOD_IMG_GRAYSCALE/* single channel colorspace (gray)*/);
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if (imgIn.data == 0) {
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/* Invalid path, unsupported format, memory failure, etc. */
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puts("Cannot load input image..exiting");
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return 0;
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}
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/* Binarize the input image before the thinning process */
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sod_img binImg = sod_threshold_image(imgIn, 0.5);
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/* Perform Hilditch thinning on this binary image. */
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sod_img imgOut = sod_hilditch_thin_image(binImg);
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/* Finally save our processed image to the specified path */
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sod_img_save_as_png(imgOut, zOut);
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/* Cleanup */
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sod_free_image(imgIn);
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sod_free_image(binImg);
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sod_free_image(imgOut);
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return 0;
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} |