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Issue No. 02 - February (1979 vol. 1)
ISSN: 0162-8828
pp: 135-144
Gregory Y. Tang , Department of Electrical Engineering, State University of New York at Buffalo, Amherst, NY 14260.
Thomas S. Huang , FELLOW, IEEE, Department of Electrical Engineering, Purdue University, West Lafayette, IN 47907.
A syntactic-semantic approach to information extraction from images is described. The methodology involves the injection of semantic considerations into context-free grammars. The semantic considerations include feature vectors, selection restrictions, feature transfer functions, semantic well-formedness, etc. With such injection, we can make a description scheme which carries the numerical, the structural, and the a prior real world knowledge about the pattern we want to extract. From the description we can construct an analytical mechanism, the creation machine, which wil find the desired pattern amid a chaos of noisy primitives.
Data mining, Transfer functions, Production, Pattern analysis, Chaos, Pattern recognition

G. Y. Tang and T. S. Huang, "A Syntactic-Semantic Approach to Image Understanding and Creation," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 1, no. 2, pp. 135-144, .
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