"SURVEY ON DIFFERENT TYPES OF CONTENT BASED IMAGE RETRIEVAL SYSTEM"

Abstract

Content based image retrieval (CBIR )has been an most active research topic in a last decade.  So many researcher  focus on the shifted from designing complicated low level feature extraction algorithms to reducing  ‘semantic gap’  between  visual features and  richness of the human semantics ,for improving  the retrieval accuracy of CBIR  systems,. In this review, we present an overview of  advances made in Content Based Image Retrieval  CBIR System. This review is aimed at providing readers with  the succinct, yet adequate the compendium of progresses made in  CBIR system. Expectantly , this effort will be stimulate the further interest aimed at  pursuit of more advanced algorithms as well as  experimental validations for the  available technologies and the extensions to the other domains.