CSDL Home IEEE Transactions on Pattern Analysis & Machine Intelligence 1979 vol.1 Issue No.02 - February
Issue No.02 - February (1979 vol.1)
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,syntactic methods, Image processing, pattern recognition
Gregory Y. Tang, Thomas S. Huang, "A Syntactic-Semantic Approach to Image Understanding and Creation", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.1, no. 2, pp. , February 1979, doi:10.1109/TPAMI.1979.4766899