41 lines
1.6 KiB
C
41 lines
1.6 KiB
C
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#ifndef SHI_TOMASI_H
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#define SHI_TOMASI_H
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typedef struct data_wrapper_t
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{
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float data;
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int x;
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int y;
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} data_wrapper_t;
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/// Draws a box at specfied location in the image. Used for markgin features.
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void draw_features(data_wrapper_t *features, unsigned int count, float *image, int image_width, int image_height);
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/// Find features in an image.
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unsigned int find_features(data_wrapper_t *eigenvalues, int max_features, int image_width, int image_height, data_wrapper_t **features);
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/// Defines comparison for data_wrapper_t. When used with qsort, it will result in a descending order array.
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int sort_data_wrapper_value_desc(const void *a, const void *b);
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// Sort data_wrapper_t types by their index (x first then y) in ascending order.
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int sort_data_wrapper_index_asc(const void *a, const void *b);
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/// Compute the eigenvalues of a pixel's Z matrix.
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void compute_eigenvalues(float *hgrad, float *vgrad, int image_height, int image_width, int windowsize, data_wrapper_t *eigenvalues);
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/// Calculate the minimum eigenvalue.
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float min_eigenvalue(float a, float b, float c, float d);
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/// Produce the images horizontal and vertical gradients.
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void convolve(float *kernel, float *image, float *resultimage, int image_width, int image_height, int kernel_width, int kernel_height, int half);
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/// Creates Gaussian kernel and Gaussian derivative kernel for image gradient/convolution procedure.
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void gen_kernel(float *gkernel, float *dkernel, float sigma, int a, int w);
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/// Prints out the program help menu.
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void help(const char *err);
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/// Print out all of the detected features.
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void print_features(data_wrapper_t *features, unsigned int count);
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#endif
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