Boosting local texture descriptors with Log-Gabor filters response for improved image retrieval. (September 2016)

• Record Type: Journal Article
• Authors: Walia, Ekta; Verma, Vishal
• Is Part Of: International journal of multimedia information retrieval. Volume 5:Number 3(2016)
• Page Start: 173
• Page End: 184
• Publication Date: 2016-09
• Subjects: Image retrieval -- Gabor filters -- Log-Gabor filters -- Local binary pattern (LBP) -- Orthogonal combination of local binary pattern (OC-LBP) -- Local maximum edge position octal pattern (LMEPOP); Information retrieval -- Periodicals; Multimedia systems -- Periodicals; 025.524
• DOI: 10.1007/s13735-016-0099-2
• Languages: English
• ISSNs: 2192-6611

Abstract

Abstract In the recent past, many local texture descriptors have been proposed for the image retrieval task. In order to improve the image retrieval accuracy, quite a few of these descriptors have been implemented on Gabor filter response. However, the response of Log-Gabor filters has been proved to be better than Gabor filters with respect to their discrimination ability. In this paper, we present a framework for image retrieval that applies various local texture descriptors on Log-Gabor filters response. To evaluate the retrieval performance of the proposed framework, experiments have been conducted on standard Wang, VisTex and OT-Scene databases. Consistent improvement in the image retrieval accuracy demonstrates the effectiveness of this framework. Further, the experimental results show that the use of proposed framework with low-dimension texture descriptors such as Orthogonal Combination of Local Binary Pattern makes them a better choice over Local Binary Pattern and its high-dimensional variants when higher retrieval accuracy, small feature vector size and ease of computation is desired.