MATLAB: How to prepare data for using in ‘svmclassify’

Question

I am working on classification of images based my features extracted from wavelet transform of my images. I have computed the mean and energy of the two class of images. For each image I have about 6 feature values. ie., mean and energy of the detail subimages of wavelet transform. Totally I have 5 images in each class. I have extracted features from all the 10 images. I donot know how to feed my features to svm for training and testing?

Answer 1

I am working on classification of images based my features extracted from wavelet transform of my images. I have computed the mean and energy of the two class of images. For each image I have about 6 feature values. ie., mean and energy of the detail subimages of wavelet transform. Totally I have 10 images with 5 images in each class. I have extracted features from all the 10 images. I donot know how to feed my features to svm for training and testing?