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Comparative Analysis of Wavelet-Based Scale-Invariant Feature Extraction Using Different Wavelet Bases

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Author(s): Joohyun Lim | Youngouk Kim | Joonki Paik

Journal: International Journal of Signal Processing, Image Processing and Pattern Recognition
ISSN 2005-4254

Volume: 2;
Issue: 4;
Start page: 29;
Date: 2009;
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Keywords: Haar | Daubechies wavelets | Gabor wavelets | Feature extraction | salient feature detection

ABSTRACT
In this paper, we present comparative analysis of scale-invariant feature extraction using different wavelet bases. The main advantage of the wavelet transform is the multi-resolution analysis. Furthermore, wavelets enable localization in both space and frequency domains and high-frequency salient feature detection. Wavelet transforms can use various basis functions. This research aims at comparative analysis of Haar, Daubechies and Gabor wavelets for scale-invariant feature extraction. Experimental results show that Gabor wavelets outperform better than Haar, Daubechies wavelets in the sense of both objective and subjective measures.
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