Paper
21 April 1995 Spectral approach to classification based on generalized unconditional tests
Author Affiliations +
Proceedings Volume 2501, Visual Communications and Image Processing '95; (1995) https://doi.org/10.1117/12.206660
Event: Visual Communications and Image Processing '95, 1995, Taipei, Taiwan
Abstract
Spectral approach to distribution-free classification is presented. The discriminant function is based on generalized unconditional tests. The main steps of the algorithms are: (1) finding a set of deadlock generalized tests, (2) computing a local discriminant function for each such a test, and (3) performing the actual classification of the observed pattern into a class. The spectral algorithms involve computation of the Walsh and Reed-Muller (conjunctive) spectra using fast algorithms.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Karen O. Egiazarian, Jaakko T. Astola, and Sos S. Agaian "Spectral approach to classification based on generalized unconditional tests", Proc. SPIE 2501, Visual Communications and Image Processing '95, (21 April 1995); https://doi.org/10.1117/12.206660
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Cited by 1 scholarly publication.
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KEYWORDS
Image classification

Detection and tracking algorithms

Binary data

Classification systems

Pattern recognition

Signal processing

Chromium

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