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The dynamic generalized hough transform

  • V. F. Leavers
Posters
Part of the Lecture Notes in Computer Science book series (LNCS, volume 427)

Abstract

A new algorithm for computing the Hough transform has been presented. It uses information present in the location of the feature points to reduce the generation of evidence in the transform plane. The algorithm gives improved performance compared with the standard Hough transform. The improvement is in computation time and memory allocation. Further advantages of using the algorithm are that peak detection is one dimensional and the end points of curves may be detected. The algorithm is also inherently parallel.

Keywords

Feature Point Image Point Image Space Memory Allocation Hough Transform 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1990

Authors and Affiliations

  • V. F. Leavers
    • 1
  1. 1.Department of PhysicsKing's College LondonStrand, London

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