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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/7491
Title: Local tetra patterns: A new feature descriptor for content-based image retrieval
Authors: Murala S.
Maheshwari R.P.
Balasubramanian R.
Published in: IEEE Transactions on Image Processing
Abstract: In this paper, we propose a novel image indexing and retrieval algorithm using local tetra patterns (LTrPs) for content-based image retrieval (CBIR). The standard local binary pattern (LBP) and local ternary pattern (LTP) encode the relationship between the referenced pixel and its surrounding neighbors by computing gray-level difference. The proposed method encodes the relationship between the referenced pixel and its neighbors, based on the directions that are calculated using the first-order derivatives in vertical and horizontal directions. In addition, we propose a generic strategy to compute nth-order LTrP using (n - 1)th-order horizontal and vertical derivatives for efficient CBIR and analyze the effectiveness of our proposed algorithm by combining it with the Gabor transform. The performance of the proposed method is compared with the LBP, the local derivative patterns, and the LTP based on the results obtained using benchmark image databases viz., Corel 1000 database (DB1), Brodatz texture database (DB2), and MIT VisTex database (DB3). Performance analysis shows that the proposed method improves the retrieval result from 70.34%/44.9% to 75.9%/48.7% in terms of average precision/average recall on database DB1, and from 79.97% to 85.30% and 82.23% to 90.02% in terms of average retrieval rate on databases DB2 and DB3, respectively, as compared with the standard LBP. © 1992-2012 IEEE.
Citation: IEEE Transactions on Image Processing (2012), 21(5): 2874-2886
URI: https://doi.org/10.1109/TIP.2012.2188809
http://repository.iitr.ac.in/handle/123456789/7491
Issue Date: 2012
Keywords: Content-based image retrieval (CBIR)
Gabor transform (GT)
local binary pattern (LBP)
local tetra patterns (LTrPs)
texture
ISSN: 10577149
Author Scopus IDs: 26639647100
8941720600
7103127999
Author Affiliations: Murala, S., Instrumentation and Signal Processing Laboratory, Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee 247667, India
Maheshwari, R.P., Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee 247667, India
Balasubramanian, R., Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee 247667, India
Funding Details: Manuscript received June 11, 2011; revised September 23, 2011, January 14, 2012, and February 09, 2012; accepted February 14, 2012. Date of publication April 03, 2012; date of current version April 18, 2012. This work was supported by the Ministry of Human Resource and Development India under Grant MHR-02-23-200 (429). The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Bulent Sankur.
Corresponding Author: Murala, S.; Instrumentation and Signal Processing Laboratory, Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee 247667, India; email: subbumurala@gmail.com
Appears in Collections:Journal Publications [EE]

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