DocumentCode
1709890
Title
A new theoretical approach to relaxation, application to edge detection
Author
Levy, Michel
Author_Institution
Univ. de Paris Sud, Orsay, France
fYear
1988
Firstpage
208
Abstract
The algorithm introduced by A. Rosenfeld, R.A. Hummel and S.W. Zucker (1976) is studied. Links between dynamic system concepts (equilibrium stability) and relaxation concepts (ambiguity and consistency) are established. It is proved that during the procedure the consistency increases and converges. An algorithm is then introduced in which labels no longer compete with one another at every site. This algorithm works far better every time a multiple labeling is necessary (edge detection, segmentation, etc.) or even possible. It is proved that the same properties hold for this procedure as for Rosenfeld et al.´s. An experimental study of edge detection. The problem of initial edge detection, is also reported. Compatibility choice, asymptotic behavior, and resistance of the algorithm to perturbations of the compatibilities are dealt with
Keywords
pattern recognition; picture processing; relaxation theory; compatibilities; consistency; dynamic system concepts; edge detection; multiple labeling; pattern recognition; perturbations; picture processing; relaxation; segmentation; Humans; Image edge detection; Joining processes; Labeling; Layout; Neurons; Random variables; Stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1988., 9th International Conference on
Conference_Location
Rome
Print_ISBN
0-8186-0878-1
Type
conf
DOI
10.1109/ICPR.1988.28208
Filename
28208
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