Research Article
Content-Based Image Retrieval Using Moments
@INPROCEEDINGS{10.1007/978-3-319-05939-6_23, author={Prashant Srivastava and Nguyen Binh and Ashish Khare}, title={Content-Based Image Retrieval Using Moments}, proceedings={Context-Aware Systems and Applications. Second International Conference, ICCASA 2013, Phu Quoc Island, Vietnam, November 25-26, 2013, Revised Selected Papers}, proceedings_a={ICCASA}, year={2014}, month={6}, keywords={Content-based image retrieval Moments Euclidean distance}, doi={10.1007/978-3-319-05939-6_23} }- Prashant Srivastava
Nguyen Binh
Ashish Khare
Year: 2014
Content-Based Image Retrieval Using Moments
ICCASA
Springer
DOI: 10.1007/978-3-319-05939-6_23
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.