Polygonal entropy: A convexity measure

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43 Scopus citations

Abstract

The notion of polygonal entropy is introduced which captures the degree of nonconvexity of a polygon through a measure of polygonal visibility. We show that the entropy of a simple polygon is maximal if and only if it is convex. When 'normalized' the entropy measure is a number between ε (a small positive nonzero number) and 1 providing a convenient index which represents the degree of irregularity (nonconvexity) of a simple polygon. A similar but less computationally burdensome measure is also proffered. Suggested uses of the measure are: the evaluation of computational complexity of vision algorithms, pattern recognition and architectural space planning.

Original languageEnglish
Pages (from-to)229-235
Number of pages7
JournalPattern Recognition Letters
Volume10
Issue number4
DOIs
StatePublished - 1 Jan 1989

Keywords

  • Polygon
  • convexity measure
  • degree of nonconvexity
  • entropy
  • nonconvex polygon
  • visible polygon
  • vision algorithms

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

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