Is there a way of labeling multiple objects within an image or each object would be separated to get the results on their feature basis?
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should the labeling for svm done in a single image having multiple objects or the objects in the image should be seperated to be dealt individualy?
Is there a way of labeling multiple objects within an image or each object would be separated to get the results on their feature basis?
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Image Analyst
on 3 May 2014
Edited: Image Analyst
on 3 May 2014
Doesn't multi-class SVM output a labeled image directly? Each class will have a label, for example all circles will have a label #1 and all pixels in squares will have a label #2. This is a classified image. Then you can use ismember() to extract out just the circles or squares and use bwlabel or bwconncomp to give each circle (or square) a unique number like 1,2,3,4,5,...N for the N circles (or squares) that are there in the image.
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Image Analyst
on 5 May 2014
See answer in your duplicate thread: http://www.mathworks.com/matlabcentral/answers/128126#comment_212011
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