Title: A correlogram algorithm for image indexing and retrieval using wavelet and Rotated Wavelet Filters

Authors: M. Subrahmanyam, R.P. Maheshwari, R. Balasubramanian

Addresses: Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee 247667, Uttarakhand, India. ' Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee 247667, Uttarakhand, India. ' Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee 247667, Uttarakhand, India

Abstract: In this paper, a new image-indexing algorithm with the combination of wavelet and Rotated Wavelet Correlogram (RWC) is proposed in contrast to the Gabor Wavelet Correlogram (GWC). The 0° and 90° information (sub-band) of image collected from Standard Wavelet Filters (SWFs) and +45° and −45° are collected from Rotated Wavelet Filters (RWFs) and further used for correlogram feature calculation. The data handling with proposed method is very less compared with GWC therefore this method is six times faster than the GWC, which make it suitable for online application. The retrieval results of the proposed method are tested on three different databases, i.e., Corel 1000 (DB1) natural image database, MIT VisTex (DB2) texture image database and Corel 2450 (DB3) natural image database. The results after being investigated show a significant improvement in terms of their evaluation measures as compared with most of existing techniques on respective databases.

Keywords: RWF; rotated wavelet filters; wavelet correlograms; CBIR; content-based image retrieval; wavelets; image indexing.

DOI: 10.1504/IJSISE.2011.039182

International Journal of Signal and Imaging Systems Engineering, 2011 Vol.4 No.1, pp.27 - 34

Received: 20 Sep 2010
Accepted: 07 Dec 2010
Published online: 13 Mar 2015 *

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