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Pipelined Implementation of the Multiresolution Hough Transform in a Pyramid Multiprocessor
 

Summary: Pipelined Implementation of the Multiresolution
Hough Transform in a Pyramid Multiprocessor
M. Atiquzzaman
Dept. of Computer Science
La Trobe University
Melbourne 3083, Australia.
Tel: (03) 479 1118
Fax: (03) 470 4915
atiq@LATCS1.lat.oz.au
Abstract
The Hough transform is used to detect patterns in images. Its advantage is
the ability to detect discontinuous patterns in noisy images. The drawback is its
demand for a large amount of computing power. Efficient algorithms and their
implementations in multiprocessor systems have been proposed to overcome the
computational requirements. The ability to efficiently map two­dimensional (2D)
images into 2D meshes makes the pyramid computer a very attractive candidate for
implementation of image processing algorithms.
Several implementations of the Hough transform in pyramid machines can be
found in the literature. The implementations are geared towards the analysis of a
single image. Moreover, the implementations do not consider the balancing of the

  

Source: Atiquzzaman, Mohammed - School of Computer Science, University of Oklahoma

 

Collections: Computer Technologies and Information Sciences