A Probabilistic Algorithm for Computing Hough Transforms

نویسندگان

  • James R. Bergen
  • Haim Schweitzer
چکیده

The Hough transform is a common technique in computer vision and pattern recognition for recognizing patterns of points. We describe an efficient probabilistic algorithm for a Monte-Carlo approximation to the Hough transform. Our algorithm requires substantially less computation and storage than the standard Hough transform when applied to patterns that are easily recognized by humans. The probabilistic steps involve randomly choosing small subsets of points that jointly vote for likely patterns.

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عنوان ژورنال:
  • J. Algorithms

دوره 12  شماره 

صفحات  -

تاریخ انتشار 1991