remove the remaining noisy regions in the cleaned image examine in matlab

main.m
% Read the cleaned image
cleanedImage = imread('cleaned_image.png');

% Convert the image to grayscale if necessary
if size(cleanedImage, 3) == 3
    grayImage = rgb2gray(cleanedImage);
else
    grayImage = cleanedImage;
end

% Threshold the image to create a binary image
binaryImage = imbinarize(grayImage);

% Remove small objects using morphological opening operation
se = strel('disk', 5); % create a disk-shaped structuring element
binaryImage = imopen(binaryImage, se);

% Fill the holes in the image using morphological closing operation
se = strel('disk', 10); % create a disk-shaped structuring element
binaryImage = imclose(binaryImage, se);

% Remove remaining small objects using morphological opening operation
se = strel('disk', 3); % create a disk-shaped structuring element
binaryImage = imopen(binaryImage, se);

% Convert the binary image back to grayscale if necessary
if size(cleanedImage, 3) == 3
    finalImage = uint8(binaryImage) .* grayImage;
else
    finalImage = binaryImage;
end

% Display the final image
imshow(finalImage);
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