用c语言写出利用sobel算子进行边缘提取比较具体的代码
时间: 2023-09-05 22:05:16 浏览: 59
### 回答1:
以下是使用 C 语言编写的 Sobel 算子进行边缘提取的代码:
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#define WIDTH 512
#define HEIGHT 512
int main()
{
int i, j, x, y;
int gx, gy, sum;
int image[HEIGHT][WIDTH];
int output[HEIGHT][WIDTH];
int sobel_x[3][3] = {{-1, , 1}, {-2, , 2}, {-1, , 1}};
int sobel_y[3][3] = {{-1, -2, -1}, {, , }, {1, 2, 1}};
// 读取图像
FILE *fp = fopen("lena.raw", "rb");
fread(image, sizeof(unsigned char), WIDTH * HEIGHT, fp);
fclose(fp);
// Sobel 算子边缘检测
for (i = 1; i < HEIGHT - 1; i++) {
for (j = 1; j < WIDTH - 1; j++) {
gx = gy = ;
for (x = -1; x <= 1; x++) {
for (y = -1; y <= 1; y++) {
gx += sobel_x[x + 1][y + 1] * image[i + x][j + y];
gy += sobel_y[x + 1][y + 1] * image[i + x][j + y];
}
}
sum = abs(gx) + abs(gy);
output[i][j] = sum > 255 ? 255 : sum;
}
}
// 输出图像
fp = fopen("lena_sobel.raw", "wb");
fwrite(output, sizeof(unsigned char), WIDTH * HEIGHT, fp);
fclose(fp);
return ;
}
### 回答2:
下面是使用C语言编写的利用Sobel算子进行边缘提取的代码:
```c
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
// 定义Sobel算子
int sobelX[3][3] = {{-1, 0, 1}, {-2, 0, 2}, {-1, 0, 1}};
int sobelY[3][3] = {{-1, -2, -1}, {0, 0, 0}, {1, 2, 1}};
// 边缘提取函数
void edgeDetection(unsigned char* image, unsigned char* output, int width, int height) {
for (int row = 1; row < height - 1; row++) {
for (int col = 1; col < width - 1; col++) {
int Gx = 0;
int Gy = 0;
// 计算Sobel算子的卷积结果
for (int i = -1; i <= 1; i++) {
for (int j = -1; j <= 1; j++) {
Gx += image[(row + i) * width + (col + j)] * sobelX[i + 1][j + 1];
Gy += image[(row + i) * width + (col + j)] * sobelY[i + 1][j + 1];
}
}
// 计算梯度幅值
int gradient = sqrt(Gx * Gx + Gy * Gy);
// 对梯度进行阈值处理
output[row * width + col] = gradient > 128 ? 255 : 0;
}
}
}
int main() {
// 假设灰度图像大小为10x10
int width = 10;
int height = 10;
// 创建输入图像和输出图像数组
unsigned char* image = (unsigned char*)malloc(width * height * sizeof(unsigned char));
unsigned char* output = (unsigned char*)malloc(width * height * sizeof(unsigned char));
// 初始化输入图像(像素值范围0-255)
for (int i = 0; i < width * height; i++) {
image[i] = rand() % 256;
}
// 进行边缘提取
edgeDetection(image, output, width, height);
// 打印输出图像
printf("输出图像:\n");
for (int row = 0; row < height; row++) {
for (int col = 0; col < width; col++) {
printf("%d ", output[row * width + col]);
}
printf("\n");
}
// 释放内存
free(image);
free(output);
return 0;
}
```
这段代码通过输入一个灰度图像,并使用Sobel算子进行边缘提取。采用了横向和纵向两个Sobel算子进行卷积操作,然后计算梯度幅值,并对梯度进行阈值处理。最后输出提取到的边缘图像。