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Attribute Expansive Graph Grammar for Pattern Description and Its Problem-Reduction Based Processing

Chun-Ye LI, Toshio KAWASHIMA, Tsuyoshi YAMAMOTO, Yoshinao AOKI

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Summary :

Expansive graph grammar is one of the suitable tools for describing pattern structures in syntactic pattern recognition. To describe the numerical features of patterns and relations among them simultaniously with pattern structure, in this paper we show with expansive graph grammar: (1) how to describe the dependent relations among attributes of (sub) patterns with the concepts of inherited and synthesized attributes, (2) how to describe conditions supposed to be satisfied by attributes of patterns with the concept of predicate. An interpreter for such processing is presented based on the Problem-Reduction Representation (PRR). Some features of the method and the interpreter are discussed. It is showed that the method introduced in this paper is suitable for describing patterns in scene analysis when numerical features of patterns are considered.

Publication
IEICE TRANSACTIONS on transactions Vol.E71-E No.4 pp.431-440
Publication Date
1988/04/25
Publicized
Online ISSN
DOI
Type of Manuscript
PAPER
Category
Image Processing, Computer Graphics and Pattern Recognition

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