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

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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.

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Acknowledgements

The authors are very much thankful to the editor and anonymous reviewers for their constructive comments and valuable suggestions that helped us to improve the quality of this manuscript significantly.

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Authors and Affiliations

  1. Instrumentation and Control, College of Engineering Pune, Pune, India

    Amita A. Shinde & Chetankumar Y. Patil

  2. Electrical and Electronics Engineering, National Institute of Technology Goa, Goa, India

    Amol D. Rahulkar

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  1. Amita A. Shinde
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  2. Amol D. Rahulkar
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  3. Chetankumar Y. Patil
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Correspondence to Amita A. Shinde.

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Shinde, A.A., Rahulkar, A.D. & Patil, C.Y. Fast discrete curvelet transform-based anisotropic feature extraction for biomedical image indexing and retrieval. Int J Multimed Info Retr 6, 281–288 (2017). https://doi.org/10.1007/s13735-017-0132-0

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  • DOI: https://doi.org/10.1007/s13735-017-0132-0

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