matlab中用dog算子进行图片边缘检测

使用DOG算子进行图像边缘检测，可以通过以下步骤实现：

1. 读入图像并转换为灰度图像

img = imread('test.jpg');
gray_img = rgb2gray(img);

2. 对灰度图像进行DOG滤波

sigma1 = 1;
sigma2 = 2;
size = 5; % 高斯核大小
dog_filter = dog_filter(sigma1, sigma2, size); % 调用DOF滤波函数
dog_img = conv2(double(gray_img), dog_filter, 'same');

3. 对DOG滤波后的图像进行阈值处理，得到二值图像

threshold = 0.1 * max(dog_img(:));
binary_img = dog_img > threshold;

4. 对二值图像进行边缘检测

edge_img = edge(binary_img, 'Canny');

完整代码如下：

img = imread('test.jpg');
gray_img = rgb2gray(img);

sigma1 = 1;
sigma2 = 2;
size = 5;
dog_filter = dog_filter(sigma1, sigma2, size);
dog_img = conv2(double(gray_img), dog_filter, 'same');

threshold = 0.1 * max(dog_img(:));
binary_img = dog_img > threshold;

edge_img = edge(binary_img, 'Canny');

imshow(edge_img);