Redundant Hough transform for invariant pattern recognition in machine vision systems
Sergey J. Markov, Michael A. Popov · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1995
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.