A review and analysis of content based image retrieval system

Content based image retrieval (CBIR) is an emerging trend in the era of efficient image retrieval in today's world. It is a searching technique which allows the retrieval based on the content. In this procedure the searching is entirely based on the similarity of the index value obtained. The CBIR area is more diverse as it is used in different domains like medical image diagnosis, classification and face recognition etc. The objective of this paper is to analyzing and discussing the latest developments in this field. Comparison contains the methodological analysis along with the prospective advantages and disadvantages. The results discussion of the previous methodologies has been analyzed also. It provides the gap identifications and future challenges which can be redirected in the near future. This discussion is based on the retrieval techniques which used the color, texture, shape and dominant color in the image retrieval.