IMAGE RETRIEVAL FROM REPOSITORY USING OVERLAPPING APPROACH

Abstract

Content Based Image Retrieval is an interesting and most emerging field in the area of ‘Image Search’, finding similar images for the given query image from the image database. Current approaches include the use of color, texture and shape information. Considering these features in individual, most of the retrievals are poor in results and sometimes we are getting some non relevant images for the given query image. So, this dissertation proposes a method in which we first pre-process the original image based on different factors like edge, saturation, brightness, lightness etc, and then we will perform some similarity test on each set and then find image that is overlapping maximally at particular priority value, by taking all sets together, than display result.