image block clustering using kmeans
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Hi all.
I have block from an image obtained using:
I also wish to display the distance between; any two intra-cluster blocks, any two blocks from different clusters; any two centroids if possible.
Honestly, am not so sure how to tackle this. Looking at the kmeans examples from the document, is not so intuitive for this particular scenario.
Thanks alot.
采纳的回答
Image Analyst
2022-2-21
0 个投票
- kmeans hyperspectral 1.bmp
- kmeans hyperspectral 2.bmp
- kmeans hyperspectral 3.bmp
- kmeans hyperspectral 4.bmp
- kmeans hyperspectral 5.bmp
- kmeans hyperspectral 6.bmp
- kmeans_color_segmentation.m
- kmeans_for_angles.m
- kmeans_grayscale_brain.png
- kmeans_grayscale_segmentation.m
- kmeans_hyperspectral_segmentation.m
- kmeans_relabel_class_numbers.m
Not sure why you're using im2col().
Attached is my kmeans demo for a gray scale image, plus one for color and hyperspectral images.
6 个评论
MatlabEnthusiast
2022-2-21
Image Analyst
2022-2-21
How is this different than just getting a class for every pixel in the image?
MatlabEnthusiast
2022-2-21
编辑：MatlabEnthusiast
2022-2-21
Maybe this is why I never use im2col(). Explain to me what's going on here:
grayImage = imread('moon.tif');
[rows, columns, numberOfColorChannels] = size(grayImage)
subplot(1, 2, 1);
imshow(grayImage);
axis on
m = rows;
n = 8;
BlockImage = im2col(grayImage,[m n],'distinct');
subplot(1, 2, 2);
imshow(BlockImage);
axis on
MatlabEnthusiast
2022-2-21
MatlabEnthusiast
2022-2-22
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