Abstract

In a content-based image retrieval system (CBIR), the most issue is to extract the image features that effectively represent the image contents as more information. Such an extraction needs a detailed analysis of retrieval performance of image options and in order to increase the retrieval efficiency of an image, there are various algorithms represented in a content based image retrieval process and such algorithms are explained here and this paper attempts to provide a very effective survey of the recent technical approaches in the current world of image retrieval. The recent publications are included in this literature survey covering all the aspects of the research in the content based image retrieval, including the images that has low image feature extractions and also tells the effective categorization of the image retrieval.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.