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International Journal of Multimedia Information Retrieval
Erschienen in: International Journal of Multimedia Information Retrieval 4/2017

18.09.2017 | Regular Paper

Fast discrete curvelet transform-based anisotropic feature extraction for biomedical image indexing and retrieval

verfasst von: Amita A. Shinde, Amol D. Rahulkar, Chetankumar Y. Patil

Erschienen in: International Journal of Multimedia Information Retrieval | Ausgabe 4/2017

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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.
Vorheriger Artikel An overview of approaches for content-based medical image retrieval
Nächster Artikel Multi-frame twin-channel descriptor for person re-identification in real-time surveillance videos

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Metadaten
Titel
Fast discrete curvelet transform-based anisotropic feature extraction for biomedical image indexing and retrieval
verfasst von
Amita A. Shinde
Amol D. Rahulkar
Chetankumar Y. Patil
Publikationsdatum
18.09.2017
Verlag
Springer London
Erschienen in
International Journal of Multimedia Information Retrieval / Ausgabe 4/2017
Print ISSN: 2192-6611
Elektronische ISSN: 2192-662X
DOI
https://doi.org/10.1007/s13735-017-0132-0

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An overview of approaches for content-based medical image retrieval