Compute texture for small parts of the image

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MatlabUser 2020-12-21

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评论： MatlabUser 2020-12-23

Hello,

I would like to ask about how to computing the texture of a part of the image efficiently, i.e., I applied superpixel segmentation (SLIC) on an image to get smaller homogenous regions, how to compute the texture for each superpixel efficiently (e.g., fast execution)?

any help will be appreciated,

best regards,

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Image Analyst 2020-12-21

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Depends on how you define texture. One way is to use the labeled image from superpixels() to get the mean intensity of the StDev image

windowSize = 9; % Whatever...
stDevImage = stdfilt(grayImage, ones(windowSize)); % A local standard deviation.
% Get the standard deviation averaged over each superpixel region.
props = regionprops(labeledImage, stDevImage, 'MeanIntensity');
for k = 1 : length(props)
    fprintf('The mean standard deviation in superpixel #%d of %d is %f.\n', ...
        k, length(props), props(k).MeanIntensity)
end

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Image Analyst 2020-12-23

No, I don't believe so, unless the help says superpizel() returns a texture. It returns a labeled image which you can then use with a texture image and regionprops() to determine texture in each superpixel region.

MatlabUser 2020-12-23