Abstract
Due to the availability of large number of digital images, development of an efficient content-based indexing and retrieval method is required. This paper proposes a moment based image retrieval method. Image is divided into blocks and geometric moment of each block is calculated followed by computation of distance between block moments of query image and database images. Then threshold, using distance values, is applied to retrieve images similar to the query image. Performance of the proposed method is compared with other state-of-the-art image retrieval methods on the basis of results obtained on Corel-1000 database. The comparison shows that the proposed method gives better results in terms of precision and recall as compared to the other image retrieval methods.
Sign-in/Register to access full text options 
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 callDisclaimer: 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.
