Title :
A computational model for perceptual grouping
Author :
Signorini, Jacqueline
Author_Institution :
Dept. of Inf., Paris Univ., Saint-Denis, France
Abstract :
A computational model for perceptual grouping is described, based on a single-instruction multiple-data (SIMD) machine, embedding a cellular automaton. The author shows that extraction of information and combination of perceptual features into higher-level grouping can be performed by SIMD computations. A description is given of a labeling procedure for the cellular automaton, based on the Huffman-Clowes system, where the labels are the states of the automation and the label combination rules its local transition rules
Keywords :
computerised picture processing; finite automata; parallel processing; Huffman-Clowes system; SIMD; cellular automaton; computational model; label combination rules; labeling procedure; perceptual features; perceptual grouping; single-instruction multiple-data; Automata; Computational modeling; Computer aided instruction; Data mining; Embedded computing; High performance computing; Labeling; Layout; Machine vision; Pattern recognition;
Conference_Titel :
Industrial Applications of Machine Intelligence and Vision, 1989., International Workshop on
Conference_Location :
Tokyo
DOI :
10.1109/MIV.1989.40570
