Recognizing Convex Blobs

Sklansky, Jack

Recognizing Convex Blobs

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Proceedings of the First International Joint Conference on Artificial Intelligence. Pictorial Pattern Recognition. Pages 107-116.

Abstract

Because of the discrete nature of the memory and logic of a digital computer, a digital computer "sees" pictures in cellular form, each cell containing a number that represents the density of the viewed object at that cell. In particular, when the picture is binary, each cell holds a 1 or 0, depending on whether or not the viewed object is projected onto that cell. The convexity of cellular blobs- i.e., binary singly connected cellular figures - is discussed and defined in terms of the continuous blobs of which the cellular blobs are images. A theory of convex cellular blobs is sketched, and the use of the "minimum-perimeter polygon" in an algorithm for testing the convexity of cellular blobs is described.

Jack Sklansky. 1969. Recognizing Convex Blobs. In Proceedings of the First International Joint Conference on Artificial Intelligence, IJCAI-69. IJCAI, 107–116. https://ijcai.org/proceedings/1969/12

@inproceedings{ijcai1969p12,
  title     = {Recognizing Convex Blobs},
  author    = {Sklansky, Jack},
  booktitle = {Proceedings of the First International Joint Conference on
               Artificial Intelligence, {IJCAI-69}},
  publisher = {International Joint Conferences on Artificial Intelligence},
  editor    = {Donald E. Walker and David C. Cooper},
  pages     = {107--116},
  year      = {1969},
  month     = {5},
  note      = {Pictorial Pattern Recognition},
  url       = {https://ijcai.org/proceedings/1969/12},
}

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TI  - Recognizing Convex Blobs
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