How to apply a rectangular window on an image?

2014 1 10
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更新时间：2014 1 13
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Hello, I want to scan a dicom picture with a rectangular window. I do not know how to apply the window. Also I want to know if my codes are correct for making a rectangular or not. These are my codes :
w=sigwin.rectwin; winwrite(w);
I guess it will create window by length 64. how can I change the length and width of my window?
Thanks

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Image Analyst
Image Analyst 2014-1-10
编辑：Image Analyst 2014-1-10

0 个投票

Use conv2() or imfilter():
windowWidth = 63; % Should be an odd number!
windowHeight = 33; % Should be an odd number!
% Make uniform window which will take average and make it blurry.
kernel = ones(windowHeight, windowWidth ) / windowHeight * windowWidth;
output = conv2(grayImage, kernel, 'same');
% or
output = imfilter(grayImage, kernel);

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Faranak
Faranak 2014-1-10
This code makes something like noise on image,I want to open a rectangular window and apply it to scan over my image,I want it to detect and count the number of nonzero pixel in that rectangular window on the image.
Image Analyst
Image Analyst 2014-1-10
Then do this:
windowWidth = 63; % Should be an odd number!
windowHeight = 33; % Should be an odd number!
% Make uniform window which will take the sum in the window.
kernel = ones(windowHeight, windowWidth );
output = conv2(grayImage, kernel, 'same');
% or
output = imfilter(grayImage ~= 0, kernel);
output pixel is the sum of all non-zero pixels within the window centered over that output pixel.
Faranak
Faranak 2014-1-13
I tried your code but it is not what I want. In the picture attached you can see a dicom image of breast and also a small rectangular window on the image.I want this. A small rectangular window on the image which is scanning breast and detect and counts the number of nonzero pixels. Thank you for your help.
Image Analyst
Image Analyst 2014-1-13
编辑：Image Analyst 2014-1-13
There are no non-zero pixels in that image. If you want to count all pixels darker than some threshold value then you can binarize the image first
thresholdValue = 50; % or whatever...
binaryImage = grayImage < thresholdValue;
output = conv2(binaryImage, kernel, 'same');

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