ML Anthology

Mathematical Models for Automatic Line Detection

Arnold K. Griffith
IJCAI 1971 pp. 17-26
doi:10.1145/321738.321744 /ijcai/1971/griffith1971ijcai-mathematical/

Abstract

A particular decision-theoretic approach to the problem of detecting straight edges and lines in pictures is discussed. A model is proposed of the appearance of scenes consisting of prismatic solids, taking into account blurring, noise, and smooth variations in intensity over faces. A suboptimal statistical decision procedure is developed for the identification of a line within a narrow band in the field of view, given an array of intensity values from within the band. The performance of this procedure is illustrated and discussed.

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Text

Griffith. "Mathematical Models for Automatic Line Detection." International Joint Conference on Artificial Intelligence, 1971. doi:10.1145/321738.321744

Markdown

[Griffith. "Mathematical Models for Automatic Line Detection." International Joint Conference on Artificial Intelligence, 1971.](https://mlanthology.org/ijcai/1971/griffith1971ijcai-mathematical/) doi:10.1145/321738.321744

BibTeX

@inproceedings{griffith1971ijcai-mathematical,
  title     = {{Mathematical Models for Automatic Line Detection}},
  author    = {Griffith, Arnold K.},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {1971},
  pages     = {17-26},
  doi       = {10.1145/321738.321744},
  url       = {https://mlanthology.org/ijcai/1971/griffith1971ijcai-mathematical/}
}