Image Segmentation Using K means
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When I execute the following command in Matlab 2012a
centroid=kmeans(imread('image.jpg'),4);
I get the following error
Error using +
Integers can only be combined with integers of the same class, or scalar doubles.
Error in kmeans>distfun (line 659)
*D(:,i) = D(:,i) + (X(:,j) - C(i,j)).^2;*
*Error in kmeans (line 273)*
*D = distfun(X, C, distance, 0, rep, reps);*
I need to segment this image into 4 cluster. This image is a CT Brain tumour Image. Size of this image is 233 x 216. Please give me a solution to cluster this image file.
回答（3 个）
Walter Roberson
2013-6-29
YourImage = imread('Image.jpg');
centroid = kmeans(double(YourImage), 4);
Note: if your .jpg is color rather than greyscale, you will probably need to convert it to greyscale before clustering.
5 个评论
Octa
2013-6-29
Image Analyst
2013-6-29
Do you want to cluster based on intensity of pixels (e.g. you want 4 gray level classes), or you want to find spatial clusters (e.g. 4 clumps of spatially separated pixels)?
Octa
2013-7-2
syed salma banu s
2018-12-31
sir i need to cluster the image based on intensity of pixels e.g. i want 3 gray level classes
Walter Roberson
2018-12-31
convert the image to grayscale and kmeans requesting 3 clusters .
moahaimen talib
2017-4-10
0 个投票
hi i need to use kmean for segmenting and clustering a binary image please help
1 个评论
Image Analyst
2017-4-10
Gebra maryam Alehegn
2017-5-1
0 个投票
How to correctly culsture image using k menas?
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2018-12-31
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