Detect brain tumor using Color based KMeans clustering
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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
4 个评论
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
2016-10-17
There would have been at least one line of error message proceeding that. Something like "recursion limit of 500 reached" perhaps.
回答(1 个)
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?
2 个评论
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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