How to find the variance of an image in a special windows? variance(in 3*3 windows)

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sara 2015-1-26

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评论： Image Analyst 2015-2-2

I obtain mean of image like this

if true
  function [ I2] = mean3dar3( m )
h = fspecial('average', [3 3]);
I2 = imfilter(m,h);

end

I want to obtain variance of image in a special windows like mean but I dont know how can I make filter of this... thanks

end

回答（3 个）

Image Analyst 2015-1-26

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在 MATLAB Online 中打开

You could use the built-in function stdfilt() and square it.

grayImage = imread('cameraman.tif');
subplot(1,3,1);
imshow(grayImage);
fontSize = 20;
title('Original Image', 'FontSize', fontSize);
% Enlarge figure to full screen.
set(gcf, 'Units', 'Normalized', 'Outerposition', [0, 0, 1, 1]);
stdImage = stdfilt(grayImage, true(3));
subplot(1,3, 2);
imshow(stdImage, []);
title('Standard Deviation Image', 'FontSize', fontSize);
varianceImage = stdImage .^2;
subplot(1,3, 3);
imshow(varianceImage, []);
title('Variance Image', 'FontSize', fontSize);

Or you could also do it with blockproc() though it's not so straightforward. Let me know if you want a demo of that method.

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sara 2015-1-31

thanks.

yes I think about my problem ...I don t want to have overlap.I need blockproc()...can you help me??

Image Analyst 2015-1-31

Here are my blocproc demos. I show it used in a variety of ways.

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Alessandro Masullo 2015-1-26

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编辑：Alessandro Masullo 2015-1-26

在 MATLAB Online 中打开

You can use the function conv2:

   A = imread('foo.bmp');
   small_window = ones(3)/9;
   A_sq = conv2(A.^2,small_window,'same');
   A_m = conv2(A,small_window,'same');
   Var = A_sq - A_m.^2;

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sara 2015-1-30

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在 MATLAB Online 中打开

thanks IMage Analyst and Alessandro Masullo

Excuse me, Is there any way to do cross correlation in a special windows,too?like stdfilt command??

cross correlation(in 3*3 windows)...

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sara 2015-2-2

you mean that input block 3*3 and output block is 5*5??

Image Analyst 2015-2-2

If you correlate a 3x3 window with another 3x3 window, yes, you will get a 5x5 window. You won't get a single number. And since with each 3x3 colored block you show in your image, there are 8 other 3x3 colored blocks surrounding it, you will have eight 5x5 matrices if you do what you said to do.

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