Abstract

Image retrieval is fast growing research oriented area now days. As information retrieval plays a major role in transmitting knowledge both in the forms of text and images, image retrieval got a major focus. In this paper we integrated the Histogram Intersection measure method to compare the query image with database images; by this approach we can measure over-all similarity between images, by incorporating all local properties of the texture histograms of the images through which we proved that our approach in retrieving the image is accurate.