An Extension to Hough Transform Based on Gradient Orientation

Abstract

The Hough transform is one of the most common methods for line detection. In this paper we propose a novel extension of the regular Hough transform. The proposed extension combines the extension of the accumulator space and the local gradient orientation resulting in clutter reduction and yielding more prominent peaks, thus enabling better line identification. We demonstrate benefits in applications such as visual quality inspection and rectangle detection.

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BibTeX Citation

DOI

10.20532/ccvw.2015.0007

https://doi.org/10.20532/ccvw.2015.0007

BibTeX

@InProceedings{10.20532/ccvw.2015.0007,
  author =       {Tomislav Petkovi{\' c} and Sven Lon{\v c}ari{\' c}}},
  title =        {An Extension to Hough Transform Based on Gradient
                  Orientation},
  booktitle =    {Proceedings of the Croatian Compter Vision Workshop,
                  Year 3},
  pages =        {15-19},
  year =         2015,
  editor =       {Lon{\v c}ari{\' c}, Sven and Krapac, Josip},
  address =      {Zagreb},
  month =        {September},
  organization = {Center of Excellence for Computer Vision},
  publisher =    {University of Zagreb},
  abstract =     {The Hough transform is one of the most common
                  methods for line detection. In this paper we propose
                  a novel extension of the regular Hough
                  transform. The proposed extension combines the
                  extension of the accumulator space and the local
                  gradient orientation resulting in clutter reduction
                  and yielding more prominent peaks, thus enabling
                  better line identification.  We demonstrate benefits
                  in applications such as visual quality inspection
                  and rectangle detection.},
  doi =          {10.20532/ccvw.2015.0007},
  url =          {https://doi.org/10.20532/ccvw.2015.0007}
}