colour image segmentation using k means

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FIR
FIR 2013 年 1 月 16 日
回答済み: Spandan Tiwari 2013 年 10 月 11 日
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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Thorsten
Thorsten 2013 年 1 月 16 日
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 件のコメント
FIR
FIR 2013 年 1 月 17 日
for the following Image i changed k=5,but why i get only two colours
Walter Roberson
Walter Roberson 2013 年 1 月 17 日
編集済み: Walter Roberson 2013 年 1 月 17 日
[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.

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その他の回答 (2 件)

Spandan Tiwari
Spandan Tiwari 2013 年 10 月 11 日
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.

Image Analyst
Image Analyst 2013 年 1 月 16 日
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 件のコメント
FIR
FIR 2013 年 1 月 17 日
i actually meant last 2 lines
SAM
SAM 2013 年 10 月 11 日
編集済み: SAM 2013 年 10 月 11 日
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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