colour image segmentation using k means

2 visualizaciones (últimos 30 días)
FIR
FIR el 16 de En. de 2013
Respondida: Spandan Tiwari el 11 de Oct. de 2013
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

Respuesta aceptada

Thorsten
Thorsten el 16 de En. de 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 comentarios
FIR
FIR el 17 de En. de 2013
for the following Image i changed k=5,but why i get only two colours
Walter Roberson
Walter Roberson el 17 de En. de 2013
Editada: Walter Roberson el 17 de En. de 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.

Iniciar sesión para comentar.

Más respuestas (2)

Spandan Tiwari
Spandan Tiwari el 11 de Oct. de 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.

Image Analyst
Image Analyst el 16 de En. de 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 comentarios
FIR
FIR el 17 de En. de 2013
i actually meant last 2 lines
SAM
SAM el 11 de Oct. de 2013
Editada: SAM el 11 de Oct. de 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...

Iniciar sesión para comentar.

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by