K-means for a grayscale image

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anusha reddy
anusha reddy 2016-5-29
编辑： Image Analyst 2021-6-27
I've tried the below code to cluster the grayscale image,
I = imread('sym_059.tif');
I = im2double(I);
c = kmeans(I, 3);
p = reshape(c, size(I));
executing this code, I am getting error as follows "Error using reshape-To RESHAPE the number of elements must not change." How can I debug this.? Help appreciated.
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Image Analyst
Image Analyst 2018-10-24
Try my code (hidden in the comments above), NOT the code that anusha says there is a problem with.

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Walter Roberson
Walter Roberson 2016-5-29
kmeans returns a vector of cluster indices, one index per row of input. You are trying to reshape that as if it had as many entries as the number of pixels in your image.
Possibly you want to try
c = kmeans(I(:), 3);
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Salma Hassan
Salma Hassan 2021-6-27
编辑：Image Analyst 2021-6-27
What about several images? How can I cluster them into k clusters?
Walter Roberson
Walter Roberson 2021-6-27
Provided the images are the same number of pixels, and are all RGB or are all grayscale, then construct an array in which each row is reshape() of an image into a single row, and the rows correspond to different images. Then kmeans() .
This would attempt to cluster the images as a whole into clusters.

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Image Analyst
Image Analyst 2021-4-16
Demos for kmeans for images attached.

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