colour image segmentation using k means
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I have a rgb image and have converted into hsv colour space,with k=2,now i want to segment the image as shown below,please tell what process to perform next
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Accepted Answer
Thorsten
on 16 Jan 2013
I = imread('./../../Downloads/planes.png');
I = im2double(I(1:320, 1:478, :));
HSV = rgb2hsv(I);
H = HSV(:,:,1); H = H(:);
S = HSV(:,:,2); S = S(:);
V = HSV(:,:,3); V = V(:);
idx = kmeans([H S V], 2);
imshow(ind2rgb(reshape(idx, size(I,1), size(I, 2)), [0 0 1; 0 0.8 0]))
3 Comments
Walter Roberson
on 17 Jan 2013
Edited: Walter Roberson
on 17 Jan 2013
[0 0 1; 0 0.8 0] is a color table with two entries: bright blue, and medium green. If you can come up with the RGB shade you want, change the 0 0.8 0 to that RGB triple.
If you have 5 clusters you would want 5 entries in the color table.
More Answers (2)
Spandan Tiwari
on 11 Oct 2013
Another alternative could be to use multi-level Otsu's thresholding to get the segmentation. You can use the function multithresh in the Image Processing Toolbox to do that.
Otsu's method and k-means clustering have equivalent objective functions (minimize within-class variance). The following paper discusses this relation:
Dongju Liu, Jian Yu, " Otsu Method and K-means ," Vol. 1, pp.344-349, Ninth International Conference on Hybrid Intelligent Systems, 2009.
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Image Analyst
on 16 Jan 2013
Assuming you set k=2 and did the kmeans like you said and is shown in this example, I don't know what you want to do next. You haven't said. The most typical thing to do next is to call bwlabel() or bwconncomp() followed by regionprops to make various measurements (such as area) on the regions. I can be more specific if you get more specific.
4 Comments
SAM
on 11 Oct 2013
Edited: SAM
on 11 Oct 2013
Assuming you set k=2 and did the kmeans like you said and is shown in this example, I don't know what you want to do next. You haven't said. The most typical thing to do next is to call bwlabel() or bwconncomp() followed by regionprops to make various measurements (such as area) on the regions. I can be more specific if you get more specific.
can you please tell me how can i calculate the area...
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