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Measuring two-dimensional complexity: A conceptual structure

Authors
Journal
Pattern Recognition
0031-3203
Publisher
Elsevier
Publication Date
Volume
4
Issue
3
Identifiers
DOI: 10.1016/0031-3203(72)90002-7

Abstract

Abstract Two-dimensional complexity is viewed as being analyzable through two-dimensional syntax. This premise is based on the assumption that there is a natural two-dimensional language, which is used for visual data processing and pattern recognition. Based on these assumptions, three measures of syntactic complexity, developed for context-free grammars, are shown to have application to Dacey's two-dimensional languages for simple polygons.

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