remove noise in image using imerode in matlab

To remove noise in an image using imerode in MATLAB, first, the image needs to be converted into a binary image with a proper threshold. Then, the noise can be eliminated by performing morphological erosion on the image. Here's an example code snippet:

main.m
% Read the image
img = imread('noisy-image.png');

% Convert the image to binary
threshold = 128;
img_binary = imbinarize(img, threshold);

% Define a structural element for erosion
se = strel('square', 3);

% Perform erosion on the binary image
img_eroded = imerode(img_binary, se);

% Display the results
figure;
subplot(1,2,1);
imshow(img_binary);
title('Binary Image');
subplot(1,2,2);
imshow(img_eroded);
title('Eroded Image');
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In this example, a noisy image is first converted into a binary image using a threshold of 128. Then, a 3x3 square structuring element is created using strel function. Finally, the morphological erosion operation is performed on the binary image using the structural element created earlier. The result is shown in a side-by-side comparison with the original binary image using the imshow function with proper titles.