Azzera filtri
Azzera filtri

show ouput clustering images

1 visualizzazione (ultimi 30 giorni)
Tomas
Tomas il 17 Mar 2014
Commentato: Image Analyst il 16 Lug 2016
Hello
I = imread('flowers','jpg');
I = im2double(I);
HSV = rgb2hsv(I);
H = HSV(:,:,1); H = H(:);
S = HSV(:,:,2); S = S(:);
V = HSV(:,:,3); V = V(:);
HH=[H S V];
idx = kmeans(HH, 4);
how i show output ?
Thanks.

Risposte (1)

Image Analyst
Image Analyst il 17 Mar 2014
rgb2ind() will do cluster analysis of rgb images.
  2 Commenti
Tomas
Tomas il 17 Mar 2014
Modificato: Tomas il 17 Mar 2014
ok thanks, How do I use rg2ind ? for example
RGB = imread('flowers.tif');
[X,map] = rgb2ind(RGB,128);
imshow(X,map)
how to create something out of it as
H = HSV(:,:,1); H = H(:);
S = HSV(:,:,2); S = S(:);
V = HSV(:,:,3); V = V(:);
HH=[H S V];
idx = kmeans(HH, 4);
Image Analyst
Image Analyst il 16 Lug 2016
rgb2ind() does the clustering itself using a variety of methods. You don't need to use kmeans afterwards, though you can use kmeans instead if you want to do it in HSV color space instead of rgb space.

Accedi per commentare.

Community Treasure Hunt

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

Start Hunting!

Translated by