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Journal of Engineering
Volume 2014 (2014), Article ID 439218, 13 pages
http://dx.doi.org/10.1155/2014/439218
Research Article

A Novel Feature Extraction Technique Using Binarization of Bit Planes for Content Based Image Classification

1Pimpri Chinchwad College of Engineering, Akurdi, Sector 26, Pradhikaran, Nigdi, Pune, Maharashtra 411033, India
2Xavier Institute of Social Service, Dr. Camil Bulcke Path (Purulia Road), P.O. Box 7, Ranchi, Jharkhand 834001, India
3A.K. Choudhury School of Information Technology, University of Calcutta, 92 APC Road, Kolkata, West Bengal 700009, India

Received 8 July 2014; Revised 20 October 2014; Accepted 21 October 2014; Published 18 November 2014

Academic Editor: Jie Zhou

Copyright © 2014 Sudeep Thepade et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

A number of techniques have been proposed earlier for feature extraction using image binarization. Efficiency of the techniques was dependent on proper threshold selection for the binarization method. In this paper, a new feature extraction technique using image binarization has been proposed. The technique has binarized the significant bit planes of an image by selecting local thresholds. The proposed algorithm has been tested on a public dataset and has been compared with existing widely used techniques using binarization for extraction of features. It has been inferred that the proposed method has outclassed all the existing techniques and has shown consistent classification performance.