Image segmentation using classifier

I am working on image segmentation of retinal images,want to extract the vessels,I have extracted the green channel and have performed features extraction using entropyfilt,now please tell how to perform segmentation using svm

Answer 1

[Nitin]

SVM is a machine learning technique where you will need to train the positive and negative

try typing 'docsearch svm' in your command window

[Arslan Ahmad]

how may I train the classifier I mean from where should I get the labels for training purpose

[Image Analyst]

SVM splits a cluster into the two most widely separated clusters possible. See https://en.wikipedia.org/wiki/Support_vector_machine. So it will automatically give you a "class 1" and a "class 2".

Answer 2

[Image Analyst]

What is represented by the two clusters? The gray levels? Can just a typical thresholding algorithm work?

[FIR]

I need to segment by using svm,is it possible ,this is document which i am working on

"Gabor Wavelet based Blood Vessel Segmentation in Retinal images using Kernel Classifiers"

Answer 3

[flath mansour]

i need code to extract image featuers

[Image Analyst]

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