CONTENT BASED IMAGE RETIRIVAL USING COLOR AND SPATIAL FEARURES

Abstract

Content Based Image Retrieval is an interesting and most emerging field in the area of ‘Image search’, finding the 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 an algorithm Color-Spatial based Image Retrieval (CSIR), for image retrieval by considering both color and spatial features of the image together to improve the retrieval results in terms of its accuracy. CSIR considers both color clustering for getting color information and spatial clustering for getting spatial information of image. CSIR computes image features automatically from a given image and they can be used to archive and/or retrieve images. These features are based on color and spatial distribution information in an i...