Content Based Image Retrieval Based on Log Gabor Wavelet Transform

Abstract:

This paper proposes a novel approach of content based image retrieval based on Log Gabor Wavelet Transform (LGWT). It is observed that LGWT better represents an image compared to Gabor Wavelet Transform (GWT). Experimental results illustrate the comparative analysis of proposed retrieval system and the retrieval system based on GWT feature descriptor. It is verified that LGWT based retrieval system improves the average precision and average recall (55.46% and 32.03% respectively) from GWT based retrieval system (50.61% and 31.63% respectively). All the experiments are performed on Corel 1000 natural image database.

• Periodical: Advanced Materials Research (Volumes 403-408)
• Pages: 871-878
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.403-408.871
• Online since: November 2011
• Authors: Megha Agarwal, Rudra Prakash Maheshwari
• Keywords: Content Based Image Retrieval, Gabor Wavelet Transform, Log Gabor Wavelet Transform

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