Detecting Ocular Tb With Modified Co-Occurrence Matrix

Abstract

Image mapping is a method both for identifying and retrieving similar images from a large database of digital images. This system utilizes the low level image features such as color, texture and shape for retrieving similar images. Among the low level image features, color and texture are perceptually important low level features.  Hence this paper entitled “Detecting  ocular  TB  with  modified co-occurrence matrix ”  uses  the color and  texture  information for  identifying similar images from the database. The texture features are extracted from images using the modified co-occurrence matrix which is called texton co-occurrence matrix and the RGB color model is used for color texture.