DocumentCode :
3024709
Title :
Fuzzy line snakes
Author :
Kersten, Paul R.
Author_Institution :
46860 Hilton Dr., Lexington Park, MD, USA
fYear :
1999
fDate :
36342
Firstpage :
52
Lastpage :
55
Abstract :
Closed flexible contours extracted from images to represent object outlines are often called snakes. This paper explores and extends snakes to extract contour features from images for modeling and pattern recognition. Many contour extraction algorithms have a common formulation as a constrained optimization problem. One version, called the constrained fuzzy clustering algorithm, links fuzzy clustering and snakes-the resulting contour being called a fuzzy snake. An extension of this result replaces the snake vertices with fuzzy line exemplars. The resulting structure is called a fuzzy line snake; some of its properties are discussed and an example is presented
Keywords :
edge detection; fuzzy set theory; optimisation; pattern clustering; closed flexible contour extraction; constrained fuzzy clustering algorithm; constrained optimization problem; fuzzy clustering; fuzzy line exemplars; fuzzy line snakes; modeling; object outline representation; pattern recognition; snake vertices; Clustering algorithms; Constraint optimization; Data mining; Eigenvalues and eigenfunctions; Feature extraction; Filters; Fuzzy sets; Pattern recognition; Prototypes; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Information Processing Society, 1999. NAFIPS. 18th International Conference of the North American
Conference_Location :
New York, NY
Print_ISBN :
0-7803-5211-4
Type :
conf
DOI :
10.1109/NAFIPS.1999.781651
Filename :
781651
Link To Document :
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