1、编写MATLAB程序，用Sobel、Prewitt、Roberts、Log等算子对标准图像（pout.tif）进行边缘提取

好的，针对您的问题，我会尽力回答。以下是MATLAB代码，使用Sobel、Prewitt、Roberts和Log算子对标准图像pout.tif进行边缘提取：

% Load image
im = imread('pout.tif');

% Convert image to grayscale
im_gray = rgb2gray(im);

% Sobel operator
sobel_x = [-1 0 1; -2 0 2; -1 0 1];
sobel_y = [-1 -2 -1; 0 0 0; 1 2 1];
sobel_im = sqrt(imfilter(double(im_gray), sobel_x).^2 + imfilter(double(im_gray), sobel_y).^2);
sobel_im = uint8((sobel_im / max(max(sobel_im))) * 255);

% Prewitt operator
prewitt_x = [-1 0 1; -1 0 1; -1 0 1];
prewitt_y = [-1 -1 -1; 0 0 0; 1 1 1];
prewitt_im = sqrt(imfilter(double(im_gray), prewitt_x).^2 + imfilter(double(im_gray), prewitt_y).^2);
prewitt_im = uint8((prewitt_im / max(max(prewitt_im))) * 255);

% Roberts operator
roberts_x = [1 0; 0 -1];
roberts_y = [0 1; -1 0];
roberts_im = sqrt(imfilter(double(im_gray), roberts_x).^2 + imfilter(double(im_gray), roberts_y).^2);
roberts_im = uint8((roberts_im / max(max(roberts_im))) * 255);

% Laplacian of Gaussian (LoG) operator
log_im = uint8(255 * mat2gray(imfilter(double(im_gray), fspecial('log', [5 5], 0.5))));

% Display the original image and the edge detection results using different operators
figure;
subplot(2,3,1), imshow(im_gray); title('Original Image');
subplot(2,3,2), imshow(sobel_im); title('Sobel Operator');
subplot(2,3,3), imshow(prewitt_im); title('Prewitt Operator');
subplot(2,3,4), imshow(roberts_im); title('Roberts Operator');
subplot(2,3,5), imshow(log_im); title('Laplacian of Gaussian Operator');

如果您需要使用其他算子来进行边缘检测，只需要将以上代码中的算子替换为您需要的算子即可。希望这能对您有所帮助！