A probabilistic Hough transform
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摘要
The Hough Transform for straight line detection is considered. It is shown that if just a small subset of the edge points in the image, selected at random, is used as input for the Hough Transform, the performance is often only slightly impaired, thus the execution time can be considerably shortened. The performance of the resulting “Probabilistic Hough Transform” is analysed. The analysis is supported by experimental evidence.
论文关键词：Computer vision,Feature extraction,Hough Transform,Monte-Carlo methods,Probabilistic algorithms
论文评审过程：Received 27 June 1990, Revised 2 August 1990, Available online 19 May 2003.
论文官网地址：https://doi.org/10.1016/0031-3203(91)90073-E
