自适应各向异性扩散滤波算法怎么通过c语言代码实现

自适应各向异性扩散滤波算法可以通过以下C语言代码实现：

#include <stdio.h>
#include <stdlib.h>
#include <math.h>

#define ROWS 512
#define COLS 512

float **make_array(int rows, int cols) {
float **array = (float **) malloc(rows * sizeof(float *));
for (int i = 0; i < rows; i++) {
array[i] = (float *) malloc(cols * sizeof(float));
}
return array;
}

void free_array(float **array, int rows) {
for (int i = 0; i < rows; i++) {
free(array[i]);
}
free(array);
}

float gaussian(float x, float sigma) {
return exp(-(x * x) / (2 * sigma * sigma));
}

float **anisotropic_diffusion(float **image, int iterations, float delta_t, float kappa, float sigma) {
float **diffused = make_array(ROWS, COLS);
for (int i = 0; i < ROWS; i++) {
for (int j = 0; j < COLS; j++) {
diffused[i][j] = image[i][j];
}
}
for (int n = 0; n < iterations; n++) {
for (int i = 1; i < ROWS - 1; i++) {
for (int j = 1; j < COLS - 1; j++) {
float diff_north = diffused[i - 1][j] - diffused[i][j];
float diff_south = diffused[i + 1][j] - diffused[i][j];
float diff_east = diffused[i][j + 1] - diffused[i][j];
float diff_west = diffused[i][j - 1] - diffused[i][j];
float c_north = gaussian(diff_north, sigma);
float c_south = gaussian(diff_south, sigma);
float c_east = gaussian(diff_east, sigma);
float c_west = gaussian(diff_west, sigma);
float c_total = c_north + c_south + c_east + c_west;
float diffusion = (c_north * diff_north + c_south * diff_south + c_east * diff_east + c_west * diff_west) / c_total;
diffused[i][j] += delta_t * kappa * diffusion;
}
}
}
return diffused;
}

int main() {
float **image = make_array(ROWS, COLS);
// load image data into image array
float **diffused = anisotropic_diffusion(image, 10, 0.1, 10, 1);
// do something with diffused image
free_array(image, ROWS);
free_array(diffused, ROWS);
return 0;
}