c++编程实现knn均值滤波算法
时间: 2023-10-02 12:07:08 浏览: 22
KNN均值滤波算法是一种基于邻域像素值的图像处理算法,其核心思想是对每个像素点周围的K个邻居像素值进行求平均操作,得到该像素点的新像素值。下面是用C语言实现KNN均值滤波算法的示例代码:
```c
#include <stdio.h>
#include <stdlib.h>
#define K 3 // K值设为3
void knn_filter(int **img, int **result, int width, int height) {
int i, j, m, n, count, sum;
int **temp;
temp = (int **)malloc(sizeof(int *) * height);
for (i = 0; i < height; i++) {
temp[i] = (int *)malloc(sizeof(int) * width);
}
for (i = 0; i < height; i++) {
for (j = 0; j < width; j++) {
count = 0;
sum = 0;
for (m = i - K / 2; m <= i + K / 2; m++) {
for (n = j - K / 2; n <= j + K / 2; n++) {
if (m >= 0 && n >= 0 && m < height && n < width) {
sum += img[m][n];
count++;
}
}
}
temp[i][j] = sum / count;
}
}
for (i = 0; i < height; i++) {
for (j = 0; j < width; j++) {
result[i][j] = temp[i][j];
}
}
for (i = 0; i < height; i++) {
free(temp[i]);
}
free(temp);
}
int main() {
int i, j;
int width = 5, height = 5;
int **img, **result;
img = (int **)malloc(sizeof(int *) * height);
result = (int **)malloc(sizeof(int *) * height);
for (i = 0; i < height; i++) {
img[i] = (int *)malloc(sizeof(int) * width);
result[i] = (int *)malloc(sizeof(int) * width);
}
// 初始化图像矩阵
img[0][0] = 1; img[0][1] = 2; img[0][2] = 3; img[0][3] = 4; img[0][4] = 5;
img[1][0] = 6; img[1][1] = 7; img[1][2] = 8; img[1][3] = 9; img[1][4] = 10;
img[2][0] = 11; img[2][1] = 12; img[2][2] = 13; img[2][3] = 14; img[2][4] = 15;
img[3][0] = 16; img[3][1] = 17; img[3][2] = 18; img[3][3] = 19; img[3][4] = 20;
img[4][0] = 21; img[4][1] = 22; img[4][2] = 23; img[4][3] = 24; img[4][4] = 25;
knn_filter(img, result, width, height);
// 输出滤波后的图像矩阵
printf("KNN均值滤波后的图像矩阵:\n");
for (i = 0; i < height; i++) {
for (j = 0; j < width; j++) {
printf("%d ", result[i][j]);
}
printf("\n");
}
for (i = 0; i < height; i++) {
free(img[i]);
free(result[i]);
}
free(img);
free(result);
return 0;
}
```
在上面的代码中,我们先定义了K值为3,然后通过`knn_filter`函数实现KNN均值滤波算法。该函数接受原始图像矩阵、处理后的图像矩阵、图像宽度和高度等参数,然后在函数内部实现算法操作。最后,我们通过一个示例图像矩阵来演示该算法的效果。
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