Hadamard transform-based object recognition using an array processor

Mehmet Celenk; Saifuddin Moiz

doi:10.1117/12.45515

1 March 1991 Hadamard transform-based object recognition using an array processor

Mehmet Celenk, Saifuddin Moiz

Proceedings Volume 1468, Applications of Artificial Intelligence IX; (1991) https://doi.org/10.1117/12.45515
Event: Orlando '91, 1991, Orlando, FL, United States

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.

Citation Download Citation

Mehmet Celenk and Saifuddin Moiz "Hadamard transform-based object recognition using an array processor", Proc. SPIE 1468, Applications of Artificial Intelligence IX, (1 March 1991); https://doi.org/10.1117/12.45515

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