Detect brain tumor using Color based KMeans clustering

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Sehrish
Sehrish 2012-7-5
评论： Walter Roberson 2016-10-17
Can anyone tell me why am i getting warning of empty cluster created at some replications. Moreover the demo at Matlab: http://www.mathworks.com/products/image/examples.html?file=/products/demos/shipping/images/ipexhistology.html uses Lab colorspace but i want to implement using rgb values, how can i do this
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Jothika Charlees
Jothika Charlees 2016-10-17
编辑：Walter Roberson 2016-10-17
While performing k-means I get error message in the line
lab_he=applycform(d,cform)
>>Error in ==> applycformsequence at 12
out = applycform(out, cforms{k});
Error in ==> applycform at 86
out = c.c_func(columndata, cdata{:});
Error in ==> applycformsequence at 12
out = applycform(out, cforms{k});
Error in ==> applycform at 86
out = c.c_func(columndata, cdata{:});
Error in ==> mammu at 35
lab_he = applycform(d,cform);
>>
Walter Roberson
Walter Roberson 2016-10-17
There would have been at least one line of error message proceeding that. Something like "recursion limit of 500 reached" perhaps.

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回答（1 个）

Image Analyst
Image Analyst 2012-7-8
The demo starts with an RGB image, then converts to lab color space. You can leave it in RGB color space if you want. Just don't do the conversion.
I'm not sure why your brain tumor image is in color? What was the source of it? CT, MRI? Why isn't it monochrome?
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Walter Roberson
Walter Roberson 2012-7-22
You used false coloring? Or you converted each grayscale array to one of its RGB equivalents by copying the information to all three color planes?

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