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3 October 1995 Redundant Hough transform for invariant pattern recognition in machine vision systems
Sergey Ju. Markov, Michael A. Popov
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Proceedings Volume 2597, Machine Vision Applications, Architectures, and Systems Integration IV; (1995) https://doi.org/10.1117/12.223976
Event: Photonics East '95, 1995, Philadelphia, PA, United States
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.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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Sergey Ju. Markov and Michael A. Popov "Redundant Hough transform for invariant pattern recognition in machine vision systems", Proc. SPIE 2597, Machine Vision Applications, Architectures, and Systems Integration IV, (3 October 1995); https://doi.org/10.1117/12.223976
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KEYWORDS
Image segmentation
Hough transforms
Detection and tracking algorithms
Pattern recognition
CCD cameras
Machine vision
Image processing algorithms and systems
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