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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/17400
Title: 3D local transform patterns: A new feature descriptor for image retrieval
Authors: Gonde A.B.
Murala S.
Vipparthi S.K.
Maheshwari R.
Balasubramanian R.
Kumar S.Raman B.
Roy [initials]P.P.
Sen D.
Published in: Proceedings of Advances in Intelligent Systems and Computing
Abstract: In this paper, authors proposed a novel approach for image retrieval in transform domain using 3D local transform pattern (3D-LTraP). The various existing spatial domain techniques such as local binary pattern (LBP), Local ternary pattern (LTP), Local derivative pattern (LDP) and Local tetra pattern (LTrP) are encoding the spatial relationship between the neighbors with their center pixel in image plane. The first attempt has been made in 3D using spherical symmetric three dimensional local ternary pattern (SS-3D-LTP). But, the performance of SS-3D-LTP is depend on the proper selection of threshold value for ternary pattern calculation. Also, multiscale and color information are missing in SS-3D-LTP method. In the proposed method i.e. 3D-LTraP, the first problem is overcome by using binary approach Similarly, the other lacunas are avoided by using wavelet transform which provide directional as well as multiscale information and color features are embedded in feature generation process itself. Two different databases which included natural and biomedical database (Coral 10 K and OASIS databases) are used for experimental purpose. The experimental results demonstrate a noteworthy improvement in precision and recall as compared to SS-3D-LTP and recent methods. © Springer Science+Business Media Singapore 2017.
Citation: Proceedings of Advances in Intelligent Systems and Computing, (2017), 495- 507
URI: https://doi.org/10.1007/978-981-10-2107-7_45
http://repository.iitr.ac.in/handle/123456789/17400
Issue Date: 2017
Publisher: Springer Verlag
Keywords: 3D local transform patterns
Image retrieval
Local binary pattern (LBP)
Texture
Wavelet transform
ISBN: 9789811021060
ISSN: 21945357
Author Scopus IDs: 26639267400
26639647100
56148878700
8941720600
7103127999
Author Affiliations: Gonde, A.B., Department of Electronics and Telecommunication Engineering, SGGSIE and T, Nanded, Maharashtra, India
Murala, S., Department of Electrical Engineering, IIT, Ropar, India
Vipparthi, S.K., Department of Computer Science Engineering, MNIT, Jaipur, Rajasthan, India
Maheshwari, R., Department of Electrical Engineering, IIT, Roorkee, India
Balasubramanian, R., Department of Computer Science and Engineering, IIT, Roorkee, India
Corresponding Author: Gonde, A.B.; Department of Electronics and Telecommunication Engineering, SGGSIE and TIndia; email: abgonde@sggs.ac.in
Appears in Collections:Conference Publications [EE]

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