applying colour for clustered image
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i have a code below of 2 images
for n=1:length(dirlist);
img = imread([pathname, dirlist(n).name]);
I=img;
HSV = rgb2hsv(I);
%HSV=I;
H = HSV(:,:,1); H = H(:);
S = HSV(:,:,2); S = S(:);
V = HSV(:,:,3); V = V(:);
idx = kmeans([H S V],3);
figure,imshow(ind2rgb(reshape(idx, size(I,1), size(I, 2)), [0 0 1; 0 0.8 0;1 0 0]))
end
the image consist of water,and land
one image consist of 70% of water and other 40% of water is it possible to give same colour for water in two images
plz assist
回答(2 个)
ChristianW
2013-3-1
0 个投票
You can define the water color. Than calculate the mean color for every cluster. Compare the mean cluster color with your defined water color to find your water cluster.
You could also use the mean cluster color directly as cluster color.
11 个评论
kash
2013-3-1
ChristianW
2013-3-1
编辑:ChristianW
2013-3-1
Mean [Red Green Blue] values for all pixels in a cluster.
Or use rgb2ind with nColor = 1:
RGB = imread('ngc6543a.jpg');
[X,map] = rgb2ind(RGB, 1); % map is the mean color
imtool(permute(map,[3 1 2]))
kash
2013-3-1
Image Analyst
2013-3-1
Where can we find 'ngc6543a.jpg' so we can run this?
kash
2013-3-1
ChristianW
2013-3-1
编辑:ChristianW
2013-3-2
ngc6543a.jpg is a Matlab example image, but I guess IA is communicating the helpfulness of having access to your image.
You falsifies the mean values with a lot of black color. This is what I mean:
I = imread('ngc6543a.jpg');
HSV = I; %rgb2hsv(I);
H = HSV(:,:,1); H = H(:);
S = HSV(:,:,2); S = S(:);
V = HSV(:,:,3); V = V(:);
Y = double([H S V]);
nColors = 3;
idx = kmeans(Y,nColors,'Replicates',3);
% get the mean cluster colors
pixel_labels = reshape(idx,size(I,1),size(I,2)); % imshow(pixel_labels,[]);
[X,map] = rgb2ind(I,65536); % indexed original image
for i = 1:nColors
c(i,:) = mean(map(X(idx==i)+1,:)); %#ok<SAGROW>
end
imshow(pixel_labels,c)
% compare with Water color
Nova = [1 0 0]; % Nova color or Water
[C,Icmin] = min(sum((c-ones(size(c,1),1)*Nova).^2,2)); % distance
c(Icmin,:) = Nova;
imshow(pixel_labels,c)
As a note, kmeans crashed sometimes here, but thats your part of the code or it might be the example image.
Image Analyst
2013-3-1
'ngc6543a.jpg' is not one of the official demo images that come with the Image Processing Toolbox, and located in folder C:\Program Files\MATLAB\R2012b\toolbox\images\imdemos. I don't know how/where to obtain the image.
ChristianW
2013-3-1
Its a Matlab image (not IPToolbox), at least in my version. Its still just an random image I took to run his code. But whatever, here you go: ngc6543a.jpg
kash
2013-3-2
ChristianW
2013-3-2
You are messing things up. I took your color/texture segmentation (implemented with kmeans), the segmentation isn't my part of the code. My part just takes a kmeans output and does a cluster affectation. It applies color for the clustered image, thats what you've asked for.
If your question is aimed at improving your segmentation, than Image Analyst is your best bet.
kash
2013-3-2
Image Analyst
2013-3-2
0 个投票
Looks like you can find the blue water fairly easily with color classification. The green water you'll have to find by adding in a texture filter like stdfilt() or entropyfilt() because the trees are very close to the same color and the only difference is the texture. The white stuff is either sand or surf on sand - either way white stuff is land. If you still need help, say so. I have color classification examples in my File Exchange http://www.mathworks.com/matlabcentral/fileexchange/?term=authorid%3A31862
9 个评论
kash
2013-3-2
编辑:Walter Roberson
2013-3-2
Walter Roberson
2013-3-2
Please stop indenting your text when you post. Only indent your code. I have fixed your posting yet again.
Walter Roberson
2013-3-2
In the image with the trees, I cannot tell whether the portion to the upper right is water (making the portion with trees either a spit of land or a portion of a lagoon), or if that portion is instead grass or something similar.
kash
2013-3-2
kash
2013-3-2
Walter Roberson
2013-3-2
So in that image with the trees, is the upper right portion calm water or is it vegetation ?
kash
2013-3-2
Image Analyst
2013-3-2
Exactly what does "Walter colouring must be mase" mean?
kash
2013-3-5
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