CAn anyone pls help me, How to calculate structural tensor matrix H for a given RGB image. Herewith i had attatche the equation.
MATLAB: Image processing structural Tensor Equation
image processingImage Processing Toolboxvertical spatial derivatives
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Lots of things could be called that - there are maybe a dozen, or more, variants. Here's an example of how I use an adaptive median filter to remove salt and pepper noise. Feel free to adapt it to your particular algorithm.
clc; % Clear command window.
clear; % Delete all variables.
close all; % Close all figure windows except those created by imtool.
imtool close all; % Close all figure windows created by imtool.
workspace; % Make sure the workspace panel is showing.
fontSize = 15;% Read in a standard MATLAB color demo image.
folder = fullfile(matlabroot, '\toolbox\images\imdemos');baseFileName = 'peppers.png';% Get the full filename, with path prepended.
fullFileName = fullfile(folder, baseFileName);if ~exist(fullFileName, 'file') % Didn't find it there. Check the search path for it.
fullFileName = baseFileName; % No path this time.
if ~exist(fullFileName, 'file') % Still didn't find it. Alert user.
errorMessage = sprintf('Error: %s does not exist.', fullFileName); uiwait(warndlg(errorMessage)); return; endendrgbImage = imread(fullFileName);% Get the dimensions of the image. numberOfColorBands should be = 3.
[rows columns numberOfColorBands] = size(rgbImage);% Display the original color image.
subplot(3, 4, 1);imshow(rgbImage);title('Original color Image', 'FontSize', fontSize);% Enlarge figure to full screen.
set(gcf, 'Position', get(0,'Screensize')); % Extract the individual red, green, and blue color channels.
redChannel = rgbImage(:, :, 1);greenChannel = rgbImage(:, :, 2);blueChannel = rgbImage(:, :, 3);% Display the individual red, green, and blue color channels.
subplot(3, 4, 2);imshow(redChannel);title('Red Channel', 'FontSize', fontSize);subplot(3, 4, 3);imshow(greenChannel);title('Green Channel', 'FontSize', fontSize);subplot(3, 4, 4);imshow(blueChannel);title('Blue Channel', 'FontSize', fontSize);% Generate a noisy image. This has salt and pepper noise independently on
% each color channel so the noise may be colored.
noisyRGB = imnoise(rgbImage,'salt & pepper', 0.05);subplot(3, 4, 5);imshow(noisyRGB);title('Image with Salt and Pepper Noise', 'FontSize', fontSize);% Extract the individual red, green, and blue color channels.redChannel = noisyRGB(:, :, 1);greenChannel = noisyRGB(:, :, 2);blueChannel = noisyRGB(:, :, 3);% Display the noisy channel images.
subplot(3, 4, 6);imshow(redChannel);title('Noisy Red Channel', 'FontSize', fontSize);subplot(3, 4, 7);imshow(greenChannel);title('Noisy Green Channel', 'FontSize', fontSize);subplot(3, 4, 8);imshow(blueChannel);title('Noisy Blue Channel', 'FontSize', fontSize);% Median Filter the channels:
redMF = medfilt2(redChannel, [3 3]);greenMF = medfilt2(greenChannel, [3 3]);blueMF = medfilt2(blueChannel, [3 3]);% Find the noise in the red.
noiseImage = (redChannel == 0 | redChannel == 255);% Get rid of the noise in the red by replacing with median.
noiseFreeRed = redChannel;noiseFreeRed(noiseImage) = redMF(noiseImage);% Find the noise in the green.
noiseImage = (greenChannel == 0 | greenChannel == 255);% Get rid of the noise in the green by replacing with median.
noiseFreeGreen = greenChannel;noiseFreeGreen(noiseImage) = greenMF(noiseImage);% Find the noise in the blue.
noiseImage = (blueChannel == 0 | blueChannel == 255);% Get rid of the noise in the blue by replacing with median.
noiseFreeBlue = blueChannel;noiseFreeBlue(noiseImage) = blueMF(noiseImage);% Reconstruct the noise free RGB image
rgbFixed = cat(3, noiseFreeRed, noiseFreeGreen, noiseFreeBlue);subplot(3, 4, 9);imshow(rgbFixed);title('Restored Image', 'FontSize', fontSize);Try this:
% Extract the individual red, green, and blue color channels.
redChannel = rgbImage(:, :, 1);greenChannel = rgbImage(:, :, 2);blueChannel = rgbImage(:, :, 3);% Now swap around in any way you want.
newRedChannel = greenChannel;newGreenChannel = blueChannel; newBlueChannel = redChannel;% Recombine separate color channels into a single, true color RGB image.
NewRgbImage = cat(3, newRedChannel, newGreenChannel, newBlueChannel);
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