display output k-means clustering, display output clustering as a image

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Tomas
Tomas 2014-3-13
回答： Yanyu Liang 2016-11-30
Hello,
I have a image, name image :test 3
I,map]=imread('test3','bmp');
I = ~I;
imshow(I,map);
[m n]=size(I)
P = [];
for i=1:m
for j=1:n
if I(i,j)==1
P = [P ; i j];
end
end
end
size(P)
MON=P;
[IDX,ctrs] = kmeans(MON,3)
as I plot the clusters in the image, resulting
I want to draw idx and ctrs in the image.
I don't know, How do I get back image with 3 new cluster(each cluster, different color in the image)
can anyone help ?
Thanks.
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Tomas
Tomas 2014-3-14
I just want to know, how to convert ouput save in cell, back to image. Thanks.

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Dishant Arora
Dishant Arora 2014-3-13
编辑：Dishant Arora 2014-3-13
[ I map] = imread('test3.bmp');
I = ~I;
imshow(I,map);
[m n]=size(I)
P = [];
for i=1:m
for j=1:n
if I(i,j)==1
P = [P ; i j];
end
end
end
size(P)
MON=P;
[IDX,ctrs] = kmeans(MON,3);
clusterImage = zeros(size(I));
clusteredImage(sub2ind(size(I) , P(:,1) , P(:,2)))=IDX;
imshow(label2rgb(clusteredImage))
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更多回答（2 个）

rizwan
rizwan 2015-3-16
Hi Experts, I am using the following code to find clusters in my image using K - Mean [ I map] = imread('D:\MS\Research\Classification Model\Research Implementation\EnhancedImage\ROIImage.jpeg'); I = ~I; imshow(I,map); [m n]=size(I) P = []; for i=1:m for j=1:n if I(i,j)==1 P = [P ; i j]; end end end size(P) MON=P; [IDX,ctrs] = kmeans(MON,3,'display', 'iter','MaxIter',500); clusterImage = zeros(size(I)); clusteredImage(sub2ind(size(I) , P(:,1) , P(:,2)))=IDX; imshow(label2rgb(clusteredImage))
The out put of the above code is
>> ImageEnhancement
m =
180
n =
317
ans =
20306 2
iter phase num sum
1 1 20306 9.40619e+07
2 1 2727 7.34318e+07
3 1 876 7.1216e+07
4 1 574 7.03212e+07
5 1 410 6.98473e+07
6 1 298 6.96024e+07
7 1 173 6.95038e+07
8 1 122 6.94633e+07
9 1 65 6.945e+07
10 1 45 6.9445e+07
11 1 30 6.9443e+07
12 1 15 6.94424e+07
13 1 8 6.94422e+07
14 1 3 6.94422e+07
15 1 1 6.94422e+07
16 2 0 6.94422e+07
Best total sum of distances = 6.94422e+07
Warning: Image is too big to fit on screen; displaying at 2%
Can any one explain this out put and how can i see proper out put of K- Mean???
I shall remain thank full You To
Regards
Yanyu Liang
Yanyu Liang 2016-11-30
It shows how the kmeans is going at each iteration. "kmeans" implementation in matlab has two phases (you can think of it as two different approach to update assignment), so "phase" just tells if it is using first phase or second. "num" tells the number of points that change their assignment at that iteration (as you can see when it hits zero, the algorithm stops). "sum" is the objective value "kmeans" is trying to minimize.

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