1 July 2001 Recognition in the wavelet domain: a survey
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J. of Electronic Imaging, 10(3), (2001). doi:10.1117/1.1381560
Abstract
The use of wavelets has grown enormously since their original inception in the mid-1980s. Since the wavelet data representation combines spatial, frequency, and scale information in a sparse data representation, they are very useful in a number of image processing applications. This paper discusses current work in applying wavelets to object and pattern recognition. Feature extraction methods and search algorithms for matching images are discussed. Some important issues are the search for invariant representations, similarities between existing applications and the human visual system, and the derivation of wavelets that match specific targets. Results from several existing systems and areas for future research are presented.
Richard Ree Brooks, Lynne L. Grewe, S. Sitharama Iyengar, "Recognition in the wavelet domain: a survey," Journal of Electronic Imaging 10(3), (1 July 2001). http://dx.doi.org/10.1117/1.1381560
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KEYWORDS
Wavelets

Wavelet transforms

Feature extraction

Image segmentation

Image processing

Fractal analysis

Object recognition

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