Accurate and efficient curve detection in images: the importance sampling Hough transform

@article{Walsh2002AccurateAE,
  title={Accurate and efficient curve detection in images: the importance sampling Hough transform},
  author={Daniel Walsh and Adrian E. Raftery},
  journal={Pattern Recognition},
  year={2002},
  volume={35},
  pages={1421-1431}
}
The Hough transform is a well known technique for detecting parametric curves in images. We place a particular group of Hough transforms, the probabilistic Hough transforms, in the framework of importance sampling. This framework suggests a way in which probabilistic Hough transforms can be improved: by specifying a target distribution and weighting the sampled parameters accordingly to make identi1cation of curves easier. We investigate the use of clustering techniques to simultaneously… CONTINUE READING
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