Author(s) : Ann Mary Saji , Shilpa Sugathan

Volume & Issue : VOLUME 2 / 2017 , ISSUE 1

Page(s) : 120-124


Image retrieval has been one of the most interesting research areas in the field of computer vision. Content-based image retrieval (CBIR) systems are used in order to autom-atically index, search, retrieve and browse image databases. Color and texture features are impo-rtant properties in content-based image retrieval systems.The extraction of features and its demonstration from the large database is the major issue in content based image retri-eval(CBIR). The image retrieval is interesting and fastest developing methodology in all fields. It is effective and well-organized approach for retrieving the image. In CBIR system the images are stored in the form of low level visual information due to this the direct correlation with high level semantic is absent. To bridge the gap between high-level and low-level semantics several methodologies has developed.


CBIR,LBP,maLBP,mdLBP,SIFT, Joint Descriptors,Ring Partition.


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