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Proceedings Paper

Hadamard transform-based object recognition using an array processor
Author(s): Mehmet Celenk; Saifuddin Moiz
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Paper Abstract

This paper describes the use of Hadamard transform for recognizing objects in an industrial environment. The transform is implemented on a 16-node hypercube array processor using ring topology. An adaptive algorithm extracts the Hadamard domain features that best represent a particular object independent of its size, position, and orientation. The first 8-10 Hadamard coefficients are selected for object classification using the minimum-distance rule. A tenfold speedup is achieved by parallelizing the algorithms for extracting the Hadamard domain features.

Paper Details

Date Published: 1 March 1991
PDF: 12 pages
Proc. SPIE 1468, Applications of Artificial Intelligence IX, (1 March 1991); doi: 10.1117/12.45515
Show Author Affiliations
Mehmet Celenk, Ohio Univ. (United States)
Saifuddin Moiz, Ohio Univ. (United States)

Published in SPIE Proceedings Vol. 1468:
Applications of Artificial Intelligence IX
Mohan M. Trivedi, Editor(s)

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