Is the labeling performed by bwlabel() is the same label vector created for training a system for classification?
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Is the labeling performed by bwlabel() is the same label vector created for training a system for classification?
I want to know regarding SVM classification for image processing
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Image Analyst
on 3 May 2014
No. A classification system will give each blob a number describing what kind of blob it is, whereas labeling gives each blob a unique ID number. For example let's say you have circles and squares. SVM should label all circles with a label #1, and all squares with a label #2. Then you can use ismember() to extract out just the circles and use bwlabel or bwconncomp to give each circle a unique number like 1,2,3,4,5,...N for the N circles that are there in the image.
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Image Analyst
on 12 May 2014
I asked you first . Recall when I asked "But what is the feature vector? What goes into it? The color, the shape, the variance, what???" That means that I don't know what features might indicate diseased or healthy tissue.
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