Abstract
Syntactic methods for the extraction of meaningful edge information in noise-distorted pictures are reported. The relational structures of the pictures under processing are considereda priori information known to the edge detector. Several digital line and picture description grammars are used to illustrate the proposed edge detection scheme. Line-drawing programs, primitive recognizing mechanism methods, and picture parsing methods are employed to process two sample picture classes — the equilateral triangles and the stacked blocks. Advantages and applications of this “syntactic” global approach to edge detection are presented and compared with the conventionalad hoc methods using local operators.
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