Using SVM in Matlab for image classification based on 2 Features?

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Sean
Sean on 15 Apr 2015
Edited: Sean on 15 Apr 2015
Hi,
I have 2 features (F1 and F2) extracted from a sample of 40 images (20 good and 20 bad). These Features are the Average and Standard deviation of the images. I have declared the 20 'good' Feature1 values as GF1 and the 20 'bad' Feature1 values as BF1 followed by declaring the 20 'good' Feature2 values as GF2 and the 20 'bad' Feature2 values as BF2. How would I use the SVM tools or functions in Matlab to create the separation lines between the good and bad images?

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