colour image segmentation using k means

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 am 16 Jan. 2013

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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 Kommentare

FIR
FIR am 17 Jan. 2013
Thanks thorsten what does [0 0 1; 0 0.8 0] specify
if i do
A=ind2rgb(reshape(idx,size(I,1),size(I,2),[0 0 1;0 0.8 0])); i get error Error using ==> reshape Size arguments must be integer scalars.
Error in ==> Untitled at 17 A=ind2rgb(reshape(idx,size(I,1),size(I,2),[0 0 1;0 0.8 0]));
can i change the background colour green to other colour say magneta or red
FIR
FIR am 17 Jan. 2013
for the following Image i changed k=5,but why i get only two colours
Walter Roberson
Walter Roberson am 17 Jan. 2013
Bearbeitet: Walter Roberson am 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.

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Weitere Antworten (2)

Spandan Tiwari
Spandan Tiwari am 11 Okt. 2013

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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 am 16 Jan. 2013

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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 Kommentare

FIR
FIR am 17 Jan. 2013
I need the output as Thorsten gave,i need to make only two colours for that plane image
Image Analyst
Image Analyst am 17 Jan. 2013
I thought you had already done that part because you said " have converted into hsv colour space,with k=2" and you showed an image that you had created. Converted is past tense, meaning that it happened in the past. Was that wrong? Did you not convert (classify) the image yet and so you needed Thorsten's code to do it for you?
FIR
FIR am 17 Jan. 2013
i actually meant last 2 lines
SAM
SAM am 11 Okt. 2013
Bearbeitet: SAM am 11 Okt. 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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Gefragt:

FIR
am 16 Jan. 2013

Beantwortet:

am 11 Okt. 2013

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