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- Publisher
- Springer Journals
- Copyright
- Copyright © 2017 by Springer-Verlag London Ltd.
- Subject
- Computer Science; Multimedia Information Systems; Information Storage and Retrieval; Information Systems Applications (incl.Internet); Data Mining and Knowledge Discovery; Image Processing and Computer Vision; Computer Science, general
- ISSN
- 2192-6611
- eISSN
- 2192-662X
- DOI
- 10.1007/s13735-017-0132-0
- Publisher site
- See Article on Publisher Site
Abstract
This paper presents fast discrete curvelet transform-based anisotropic feature extraction for biomedical image indexing and retrieval. In this work, the curvelet transform is applied on the image and feature vector is calculated using the directional energies of these curvelet coefficients. The effectiveness of the proposed approach has been tested on three well-known databases: Open access series of imaging studies MRI, Emphysema-CT and NEMA-CT. The performance of the proposed system is evaluated using average retrieval precision and average retrieval rate. The experimental results show the superiority of proposed approach over well-known existing methods.
Journal
International Journal of Multimedia Information Retrieval – Springer Journals
Published: Sep 18, 2017