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Detect brain tumor using Color based KMeans clustering

2 vues (au cours des 30 derniers jours)
Sehrish
Sehrish le 5 Juil 2012
Commenté : Walter Roberson le 17 Oct 2016
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 commentaires
Jothika Charlees
Jothika Charlees le 17 Oct 2016
Modifié(e) : Walter Roberson le 17 Oct 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
Walter Roberson le 17 Oct 2016
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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Réponses (1)

Image Analyst
Image Analyst le 8 Juil 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 commentaires
Sehrish
Sehrish le 22 Juil 2012
i have converted the grayscale image to rgb.
Walter Roberson
Walter Roberson le 22 Juil 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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