Title: Directional local ternary patterns for multimedia image indexing and retrieval

Authors: Santosh Kumar Vipparthi; S.K. Nagar

Addresses: Department of Electrical Engineering, Indian Institute of Technology, Banaras Hindu University (BHU), Varanasi, Uttar Pradesh, India ' Department of Electrical Engineering, Indian Institute of Technology, Banaras Hindu University (BHU), Varanasi, Uttar Pradesh, India

Abstract: In this paper, we proposed a novel multimedia image indexing and retrieval algorithm using Directional Local Ternary Pattern (DLTP) for Content-Based Image Retrieval (CBIR). The standard Local Binary Pattern (LBP) and Local Ternary Pattern (LTP) encode the relationship between reference pixel and its surrounding neighbours by computing grey-level difference. The proposed method extracts the directional edge information based on local ternary value (−1, 0, 1) instead of binary value (0, 1) in 0°, 45°, 90°, and 135° directions of an image. The performance of the proposed method is compared with local binary pattern LBP, Block-based LBP (BLK-LBP), Centre-Symmetric LBP (CS-LBP), Local Edge Patterns for Segmentation (LEPSEG), Local Edge Patterns for Image Retrieval (LEPINV) and other existing transform domain methods based on Corel-5000 (DB1) and Corel-10000 (DB2) databases. The retrieval performance of DLTP shows better improvement in terms of their performance measures as compared with the standard LBP.

Keywords: CBIR; content-based image retrieval; multimedia images; local patterns; LTP; local ternary patterns; image indexing; performance measures.

DOI: 10.1504/IJSISE.2015.070485

International Journal of Signal and Imaging Systems Engineering, 2015 Vol.8 No.3, pp.137 - 145

Received: 10 Apr 2012
Accepted: 28 Jan 2013
Published online: 08 Jul 2015 *

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