MATLAB: Standard deviation per pixel in an image series

digital image processingimageanalyst

Let's say I have 2 images of size 3×3. I want to store the standard deviation of each pixel in a new matrix of size 3×3.

So if I have k images of same size, then I want to find the standard deviation of k entries per pixel and store that in a new matrix.

Best Answer

Save the images in a 3D array (say imageArray), such that imageArray(:,:,1) = Image1, imageArray(:,:,1) = Image2, ..., imageArray(:,:,k) = Imagek. Then you can calculate per pixel standard deviation using

std(imageArray, 3);

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MATLAB: How to create an image by replacing each pixel with mean RGB value.

Specify the dimension to the mean function. It will create a grayscale image

img = im2double(imread('peacock.jpg'));
img_mean = mean(img, 3);
 
fig = figure();
subplot(1, 2, 1);
imshow(img);
subplot(1, 2, 2);
imshow(img_mean);

MATLAB: Taking mean value of a gray scaled image and equating it to across images

Try this:

grayImage = imread('1.png');
meanValue = mean2(grayImage);
% Now make a new image with a desired mean by scaling our current image.
desiredMeanValue = 128; % or whatever.
scaledGrayImage = double(grayImage) * (desiredMeanValue  / meanValue);
% scaledGrayImage will be of type double now.
% Either cast it back to uint8, which may change the mean slightly,
% or use [] when you display it
imshow(scaledGrayImage, []);

To process a bunch of files, see the FAQ: http://matlab.wikia.com/wiki/FAQ#How_can_I_process_a_sequence_of_files.3F

Best Answer

Related Solutions

MATLAB: How to create an image by replacing each pixel with mean RGB value.

MATLAB: Taking mean value of a gray scaled image and equating it to across images

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