how to do a convolution of two images in matlab

To perform convolution of two images in Matlab, you can use the 'conv2' function which performs two-dimensional convolution. The syntax of the function is:

main.m
C = conv2(A, B)
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where A and B are the input images and C is the output image after performing convolution.

Here is an example code that demonstrates how to perform convolution of two images using 'conv2' function:

main.m
% Read input images
img1 = imread('image1.jpg');
img2 = imread('image2.jpg');

% Convert images to grayscale
img1_gray = rgb2gray(img1);
img2_gray = rgb2gray(img2);

% Normalize the pixel values
img1_norm = double(img1_gray)/255;
img2_norm = double(img2_gray)/255;

% Perform convolution and scale the output image
C = conv2(img1_norm, img2_norm);
C = mat2gray(C);

% Display input and output images
figure;
subplot(2,2,1); imshow(img1_gray); title('Input image 1');
subplot(2,2,2); imshow(img2_gray); title('Input image 2');
subplot(2,2,[3,4]); imshow(C); title('Convolution of two images');
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This code reads two images, converts them to grayscale, normalizes the pixel values, performs convolution using 'conv2' function, scales the output image to a range of [0, 1] using 'mat2gray' function, and displays the input and output images using 'subplot' function.

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