ABSTRACT

Visual information has been extensively used in the areas of multimedia, medical imaging and other numerous applications. Management of these visual information is challenging as the quantity of data available is very huge. Current utilization of available medical databases is limited due to the issues in retrieval of the necessary images from a huge repository. In this paper we propose a novel image matching scheme using Discrete Sine Transform and decision tree classification techniques for classification of the given input medical image. Our system classifies the images based on the similarity of the images.