can plz explain the source code in matlab

how or on what basis selected the numerical values for matrix e.g. labels=[],features[] etc are created for image dataset to be used for multiclass svm in matlab

Answer 1

[Image Analyst]

References are given in the documentation: http://www.mathworks.com/help/stats/svmclassify.html. You can read the papers to see how it's done in detail.

Answer 2

[Walter Roberson]

Mark all of the images with no skin at all (showing only background) as being group 1; mark all of the images that show skin but have no skin disease as being group 2; mark all of the images that show skin disease as being group 3. These are the values that you would put into your labels vector.

I am not familiar with texture analysis to be able to guide you about what feature vectors you should create.

http://www.mathworks.com/help/images/texture-analysis-1.html

[Sheema Khattak]

How would I mark these images?

[Sheema Khattak]

How would I specify that group 1=background,group 2 = no skin disease and group3=skin disease?

[Walter Roberson]

You just create a vector of numbers. e.g., if your first row of features corresponded to a picture with no skin disease, then the first entry in the vector would be 2.