DocumentCode :
929241
Title :
Perceptual organization in computer vision: a review and a proposal for a classificatory structure
Author :
Sarkar, Sudeep ; Boyer, Kim L.
Author_Institution :
Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA
Volume :
23
Issue :
2
fYear :
1993
Firstpage :
382
Lastpage :
399
Abstract :
The role of perceptual organization in computer vision systems is explored. This is done from four vantage points. A brief history of perceptual organization research in both humans and computer vision is offered. A classificatory structure in which to cast perceptual organization research to clarify both the nomenclature and the relationships among the many contributions is proposed. The perceptual organization work in computer vision in the context of this classificatory structure is reviewed. The array of computational techniques applied to perceptual organization problems in computer vision is surveyed
Keywords :
computer vision; image recognition; classificatory structure; computer vision; image recognition; perceptual organization; Biological system modeling; Biological systems; Biology computing; Computational intelligence; Computational modeling; Computer vision; Humans; Machine vision; Organisms; Proposals;
fLanguage :
English
Journal_Title :
Systems, Man and Cybernetics, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9472
Type :
jour
DOI :
10.1109/21.229452
Filename :
229452
Link To Document :
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