c语言如何将转换灰度图像
时间: 2024-05-13 08:14:40 浏览: 178
转换灰度图像的方法有几种,其中最常用的是平均值法、最大值法、最小值法和加权法。
以平均值法为例,下面是一个简单的C语言代码实现:
```c
#include <stdio.h>
#include <stdlib.h>
#include <stdint.h>
#define BMP_HEADER_SIZE 54
void grayscale(uint8_t* img_data, int img_width, int img_height) {
int row, col;
uint8_t b, g, r, gray;
for (row = 0; row < img_height; row++) {
for (col = 0; col < img_width; col++) {
b = *(img_data + row * img_width * 3 + col * 3);
g = *(img_data + row * img_width * 3 + col * 3 + 1);
r = *(img_data + row * img_width * 3 + col * 3 + 2);
gray = (uint8_t)((b + g + r) / 3);
*(img_data + row * img_width * 3 + col * 3) = gray;
*(img_data + row * img_width * 3 + col * 3 + 1) = gray;
*(img_data + row * img_width * 3 + col * 3 + 2) = gray;
}
}
}
int main() {
FILE* fp;
uint8_t* bmp_data;
int img_width, img_height, img_size;
fp = fopen("test.bmp", "rb");
if (fp == NULL) {
printf("Cannot open file.\n");
exit(1);
}
fseek(fp, 18, SEEK_SET);
fread(&img_width, sizeof(int), 1, fp);
fread(&img_height, sizeof(int), 1, fp);
fseek(fp, BMP_HEADER_SIZE, SEEK_SET);
img_size = img_width * img_height * 3;
bmp_data = (uint8_t*)malloc(img_size);
fread(bmp_data, sizeof(uint8_t), img_size, fp);
grayscale(bmp_data, img_width, img_height);
fclose(fp);
fp = fopen("result.bmp", "wb");
fwrite(bmp_data, sizeof(uint8_t), img_size, fp);
fclose(fp);
free(bmp_data);
return 0;
}
```
这个代码可以将一个24位真彩色BMP图像转换为灰度图像,并将结果保存为新的BMP文件。其中,`grayscale`函数实现了灰度转换的过程,通过遍历图像的每个像素点,将其RGB值取平均值得到灰度值,然后将RGB值分别设置为灰度值,从而实现灰度转换。需要注意的是,在BMP图像中,像素点的存储顺序是BGR而不是RGB,因此在处理像素点数据时要注意顺序。
阅读全文
相关推荐

















