A computational study and meta-analysis of content based image retrieval

There is the need of efficient image retrieval in different areas including health industry and data processing. It is also important to fetch relevant data for the diagnosis, prediction and data correlation purpose. In the view of the above a study and analysis have been presented for the content based image retrieval (CBIR) methods and their approaches. The objective of this paper is to elaborate and explore the latest trend in this area for the purpose of discovering analytical and computational prospects. So different related and latest proposed and presented methods have been discussed along with the advantages and gaps. Based on this the limitations and the problem statements have been highlighted with the suggested solutions.