mirror of https://github.com/NekoX-Dev/NekoX.git
62 lines
3.0 KiB
C++
62 lines
3.0 KiB
C++
/*
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FAST-EDGE
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Copyright (c) 2009 Benjamin C. Haynor
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Permission is hereby granted, free of charge, to any person
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obtaining a copy of this software and associated documentation
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files (the "Software"), to deal in the Software without
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restriction, including without limitation the rights to use,
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copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the
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Software is furnished to do so, subject to the following
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conditions:
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The above copyright notice and this permission notice shall be
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included in all copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
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EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
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OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
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NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
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HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
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WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
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FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
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OTHER DEALINGS IN THE SOFTWARE.
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*/
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#ifndef _FASTEDGE
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#define _FASTEDGE
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namespace ocr{
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//#define WIDTH 640 // uncomment to define width for situations where width is always known
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//#define HEIGHT 480 // uncomment to define heigh for situations where height is always known
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//#define CLOCK // uncomment to show running times of image processing functions (in seconds)
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//#define ABS_APPROX // uncomment to use the absolute value approximation of sqrt(Gx ^ 2 + Gy ^2)
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//#define PRINT_HISTOGRAM // uncomment to print the histogram used to estimate the threshold
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struct image {
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int width;
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int height;
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unsigned char * pixel_data;
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};
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void canny_edge_detect(struct image * img_in, struct image * img_out);
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void gaussian_noise_reduce(struct image * img_in, struct image * img_out);
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void calc_gradient_sobel(struct image * img_in, int g[], int dir[]);
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void calc_gradient_scharr(struct image * img_in, int g_x[], int g_y[], int g[], int dir[]);
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void non_max_suppression(struct image * img, int g[], int dir[]);
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void estimate_threshold(struct image * img, int * high, int * low);
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void hysteresis (int high, int low, struct image * img_in, struct image * img_out);
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int trace (int x, int y, int low, struct image * img_in, struct image * img_out);
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int range (struct image * img, int x, int y);
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void dilate_1d_h(struct image * img, struct image * img_out);
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void dilate_1d_v(struct image * img, struct image * img_out);
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void erode_1d_h(struct image * img, struct image * img_out);
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void erode_1d_v(struct image * img, struct image * img_out);
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void erode(struct image * img_in, struct image * img_scratch, struct image * img_out);
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void dilate(struct image * img_in, struct image * img_scratch, struct image * img_out);
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void morph_open(struct image * img_in, struct image * img_scratch, struct image * img_scratch2, struct image * img_out);
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void morph_close(struct image * img_in, struct image * img_scratch, struct image * img_scratch2, struct image * img_out);
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}
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#endif
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