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 Commenti
Jothika Charlees
il 17 Ott 2016
Modificato: Walter Roberson
il 17 Ott 2016
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
il 17 Ott 2016
There would have been at least one line of error message proceeding that. Something like "recursion limit of 500 reached" perhaps.
Risposte (1)
Image Analyst
il 8 Lug 2012
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 Commenti
Walter Roberson
il 22 Lug 2012
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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