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Proceedings Paper

Redundant Hough transform for invariant pattern recognition in machine vision systems
Author(s): Sergey Ju. Markov; Michael A. Popov
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Paper Abstract

The paper presets the redundant Hough transform (RHT). It differs from classical Hough transform (HT) by the 'dual voting' in the HT-plane. Mapping of each straight-line segment from image-plane to two points in HT-plane is produced. The using of RHT allows us to reduce translation and turn distortions in image-plane to cyclic shifts along coordinate axes in HT-plane for all values of the distortions. On the basis of offered RHT, algorithms for machine vision systems can be constructed which provide invariant to turn and translation distortions recognition with estimation of that distortion's values. The block diagram of a specialized processor for RHT realization is offered.

Paper Details

Date Published: 3 October 1995
PDF: 8 pages
Proc. SPIE 2597, Machine Vision Applications, Architectures, and Systems Integration IV, (3 October 1995); doi: 10.1117/12.223976
Show Author Affiliations
Sergey Ju. Markov, Kyev Airforce Military Institute (Ukraine)
Michael A. Popov, Kyev Airforce Military Institute (Ukraine)


Published in SPIE Proceedings Vol. 2597:
Machine Vision Applications, Architectures, and Systems Integration IV
Bruce G. Batchelor; Susan Snell Solomon; Frederick M. Waltz, Editor(s)

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