Feature extraction

This is the most remarkable step of image processing which helps in dimensional reduction of the image and gives us a compact feature image so that further classification becomes easier for the classifiers (Sankaran et al., 2010). In this paper, following methods have been adopted to explore images: colored histogram and Haar wavelets. The extracted features are used to classify the following diseases: early blight, mosaic virus, target spot and yellow leaf curl virus.