Mathematical Models for Automatic Line Detection

Griffith, Arnold K.

Mathematical Models for Automatic Line Detection

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Proceedings of the Second International Joint Conference on Artificial Intelligence. Pages 17-25.

Abstract

The goal of the work here reported Is to Investigate algorithms which find the real straight edges In scenes consisting of prismatic sol Ids, taking Into account smooth variations In Intensity over faces, blurring of edges, and noise. To this end we give In this paper a model of the appearance to an opt leal Input device of such scenes; and describe a sub-optimal statistical decision procedure, based on the model, for the Identification of a 1 lne within a narrow hand on the field of view, given an array of Intensities from within the band.

Arnold K. Griffith. 1971. Mathematical Models for Automatic Line Detection. In Proceedings of the Second International Joint Conference on Artificial Intelligence, IJCAI-71. IJCAI, 17–25. https://ijcai.org/proceedings/1971/2

@inproceedings{ijcai1971p2,
  title     = {Mathematical Models for Automatic Line Detection},
  author    = {Griffith, Arnold K.},
  booktitle = {Proceedings of the Second International Joint Conference on
               Artificial Intelligence, {IJCAI-71}},
  publisher = {International Joint Conferences on Artificial Intelligence},
  editor    = {D.C. Cooper},
  pages     = {17--25},
  year      = {1971},
  url       = {https://ijcai.org/proceedings/1971/2},
}

TY  - CPAPER
TI  - Mathematical Models for Automatic Line Detection
AU  - Griffith, Arnold K.
T2  - Proceedings of the Second International Joint Conference on Artificial Intelligence, IJCAI-71
PB  - International Joint Conferences on Artificial Intelligence
PY  - 1971
SP  - 17
EP  - 25
UR  - https://ijcai.org/proceedings/1971/2
ER  -