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Proceedings Paper

Wavelet image processor for pattern recognition and feature extraction
Author(s): Casimer M. DeCusatis; Agostino Abbate; Pankaj K. Das
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Paper Abstract

Recently there has been a great deal of interest in the optical implementation of wavelet transforms for image processing. In this paper, we discuss applications of the wavelet transform to image analysis, rotation and scale invariance, and pattern recognition in the presence of background noise. We describe a method for scale and rotation invariant pattern recognition based on wavelet features of an image. Finally, we give an example of using discrete wavelet filters to extract information from an image.

Paper Details

Date Published: 31 December 1996
PDF: 4 pages
Proc. SPIE 2866, International Conference on Holography and Optical Information Processing (ICHOIP '96), (31 December 1996); doi: 10.1117/12.263050
Show Author Affiliations
Casimer M. DeCusatis, IBM Corp. (United States)
Agostino Abbate, U.S. Army Benet Labs. (United States)
Pankaj K. Das, Rensselaer Polytechnic Institute (United States)


Published in SPIE Proceedings Vol. 2866:
International Conference on Holography and Optical Information Processing (ICHOIP '96)
Guoguang Mu; Guofan Jin; Glenn T. Sincerbox, Editor(s)

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