Paper Details: Downloads: 598
Serial Number: P1150729008
Title: Content Based Image Retrieval using Contourlet Transform
Authors: Ch.Srinivasa rao and S. Srinivas kumar and B.N.Chatterji
Abstract: Content Based Image Retrieval (CBIR) system using Contourlet Transform (CT) based features with high retrieval rate and less computational complexity is proposed in this paper. Unique properties of CT like directionality and anisotropy made it a powerful tool for feature extraction of images in the database. Improved results in terms of computational complexity and retrieval efficiency are observed over recent work based on Gabor-Zernike features based CBIR system. The distance measures viz., Manhattan distance and Euclidean distance are used as similarity measures in the proposed CBIR system. Superiority of Manhattan distance is observed over Euclidean distance in terms of average retrieval rate.
Keywords: CBIR, Feature extraction, Contourlet transform, Directionality, and Anisotropy.
Journal/Conference: International Journal of Graphics, Vision and Image Processing
Volume: 7
Issue: 3
Submission Date: 8/1/2007 12:00:00 AM
Review Date: 9/1/2007 12:00:00 AM
Publishing Date: 11/1/2007 12:00:00 AM
Article Downloads: 598
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