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International Journal of

Recent Trends in Engineering

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International Journal of Recent Trends in Engineering (IJRTE)

ISSN 1797-9617

Volume 1, Number 1, May 2009

Issue on Computer Science

Page(s): 418-424

Neuro-Fuzzy Based Clustering Approach For Content Based Image Retrieval Using 2D-Wavelet Transform

V. Balamurugan and P. Anandhakumar

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Abstract

In this paper we introduce neuro-fuzzy based clustering approach for content based image retrieval using 2D-wavelet transform(2D-DWT). Most of the image retrieval systems are still incapable of providing retrieval result with high retrieval accuracy and less computational complexity.To address this problem, we developed neural network -fuzzy logic cluster based approach for content based image retrieval using 2D-wavelet transform. The system performance improved by the learning and searching capability of the neural network combined with the fuzzy interpretation. This overcomes the vagueness and inconsistency due to human subjectivity. Multiresolution analysis using 2D-DWT can decompose the image into components at different scales, so that the coarest scale components carry the global approximation information while the finer scale components contain the detailed information. The empirical results show that the precision improved from 78% to 98% and average recall rate of 77% to 98% for the general purpose database size of 10000 images compared with other existing approaches.

Index Terms

Color and texture based image retrieval, clustering, 2D Wavelet transform, Neural network and Fuzzy logic

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