Title: Multi resolution feature combined with ODBTC technique for robust CBIR system

Authors: V.G. Ranjith; M.K. Jeyakumar; S. Palanikumar

Addresses: Department of Software Engineering, Noorul Islam Centre for Higher Education, Thuckalay, Kumaracoil-629180, Tamilnadu, India ' Department of Information Technology, Noorul Islam Centre for Higher Education, Noorul Islam University, Thuckalay, Kumaracoil-629180, Tamilnadu, India ' Department of Information Technology, Noorul Islam Centre for Higher Education, Noorul Islam University, Thuckalay, Kumaracoil-629180, Tamilnadu, India

Abstract: Content based image retrieval (CBIR) is a system that retrieves a set of images that most resembles the query image. The technology is used in many applications. Currently used image content retrieval method is ordered-dither block truncation coding (ODBTC). This method is used to produce image content descriptors. In this system, it gives only an average accuracy of 70.5%. Our aim is to create a more robust and accurate system for CBIR. For this purpose in addition to colour cooccurrence feature (CCF) and bit pattern features (BPF), contourlet and wavelet features from the query image is extracted for image retrieval process. In our experiment the system is first tested with ODBTC and wavelet and then ODBTC and contourlet. The results obtained with ODBTC and contourlet is more accurate and produced accuracy 91.5%. The dataset used for our experiment is CorelDB.

Keywords: CBIR; content based image retrieval; ODBTC; ordered-dither block truncation coding; CCF; colour cooccurrence features; BPF; bit pattern features.

DOI: 10.1504/IJSISE.2018.093829

International Journal of Signal and Imaging Systems Engineering, 2018 Vol.11 No.4, pp.237 - 245

Received: 06 Nov 2017
Accepted: 26 Mar 2018
Published online: 06 Aug 2018 *

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