MATLAB: I need to wirte a MATLAB program that employs MA filterto an image, then display the original image, the filtered image and the difference of the images. How to go around doing this, I have no idea

image processingma filtermoving average

No idea

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I don't know what an MA filter is, but let's say that you have a function that does it. Then you do this

filteredImage = ma_filter(originalImage);
differenceImage = double(filteredImage) - double(originalImage);
% Now display
subplot(2,2,1);
imshow(originalImage, []);
title('Original Image', 'FontSize', 15);
subplot(2,2,2);
imshow(filteredImage, []);
title('Filtered Image', 'FontSize', 15);
subplot(2,2,3);
imshow(differenceImage, []);
title('Difference Image', 'FontSize', 15);

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MATLAB: What is the result of combining equalized image with a sobel filter

No, you're doing it all wrong. I started to try to fix your code, but it's better to just start from scratch and do it the right way from step 1. Here, try this way, using imgradient():

    clc;    % Clear the command window.
    close all;  % Close all figures (except those of imtool.)
    imtool close all;  % Close all imtool figures.
    clear;  % Erase all existing variables.
    workspace;  % Make sure the workspace panel is showing.
    format longg;
    format compact;
    fontSize = 20;
    % Read in RGB image.
    rgbImage=imread('onion.png');
    % Display image.
    subplot(3,4, 1);
    imshow(rgbImage);
    title('Original Color Image', 'FontSize', fontSize);
    % Enlarge figure to full screen.
    set(gcf, 'units','normalized','outerposition',[0 0 1 1]);
    % Extract the individual red, green, and blue color channels.
    redChannel = rgbImage(:, :, 1);
    greenChannel = rgbImage(:, :, 2);
    blueChannel = rgbImage(:, :, 3);
    % Display images.

    subplot(3,4, 2);
    imshow(redChannel);
    title('Red Image', 'FontSize', fontSize);
    subplot(3,4, 3);
    imshow(greenChannel);
    title('Green Image', 'FontSize', fontSize);
    subplot(3,4, 4);
    imshow(blueChannel);
    title('Blue Image', 'FontSize', fontSize);
    % Apply Sobel filters:
    sobelFilteredImageR = imgradient(redChannel);
    sobelFilteredImageG = imgradient(greenChannel);
    sobelFilteredImageB = imgradient(blueChannel);
    % Combine them all so we can add to original
    colorSobel = cat(3, sobelFilteredImageR, sobelFilteredImageG, sobelFilteredImageB);
    % Display images.
    subplot(3,4, 6);
    imshow(sobelFilteredImageR, []);
    title('Red Sobel Image', 'FontSize', fontSize);
    subplot(3,4, 7);
    imshow(sobelFilteredImageG, []);
    title('Green Sobel Image', 'FontSize', fontSize);
    subplot(3,4, 8);
    imshow(sobelFilteredImageB, []);
    title('Blue Sobel Image', 'FontSize', fontSize);
    % Add together with three different weightings.
    weighting = 0.1;
    outputImage = rgbImage + uint8(weighting * colorSobel);
    subplot(3,4, 9);
    imshow(outputImage);
    caption = sprintf('Weighting of %.2f', weighting);
    title(caption, 'FontSize', fontSize);
    weighting = 0.4;
    outputImage = rgbImage + uint8(weighting * colorSobel);
    subplot(3,4, 10);
    imshow(outputImage);
    caption = sprintf('Weighting of %.2f', weighting);
    title(caption, 'FontSize', fontSize);
    weighting = 0.7;
    outputImage = rgbImage + uint8(weighting * colorSobel);
    subplot(3,4, 11);
    imshow(outputImage);
    caption = sprintf('Weighting of %.2f', weighting);
    title(caption, 'FontSize', fontSize);
    weighting = 1.0;
    outputImage = rgbImage + uint8(weighting * colorSobel);
    subplot(3,4, 12);
    imshow(outputImage);
    caption = sprintf('Weighting of %.2f', weighting);
    title(caption, 'FontSize', fontSize);

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Related Solutions

MATLAB: Sinusoid identification in images

MATLAB: What is the result of combining equalized image with a sobel filter

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