Complex curve tracing based on a minimum spanning tree model and regularized fuzzy clustering

The fuzzy curve-tracing (FCT) algorithm can be used to extract a smooth curve from unordered noisy data. However, the model produces good results only if the curve shape is either opened or closed. In this paper, we propose several techniques to generalize the FCT algorithm for tracing complicated c...

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Veröffentlicht in:	2004 International Conference on Image Processing, 2004. ICIP '04 Jg. 3; S. 2091 - 2094 Vol. 3
Hauptverfasser:	Lam, B.S.Y., Hong Yan
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	Piscataway NJ IEEE 2004
Schlagworte:	Applied sciences Artificial intelligence Clustering algorithms Computer science; control theory; systems Data engineering Data mining Exact sciences and technology Handwriting recognition Information technology Mathematical model Noise shaping Partitioning algorithms Pattern recognition. Digital image processing. Computational geometry Shape Smoothing methods Cluster analysis Smoothing methods Image processing Modeling Fuzzy logic Fuzzy algorithm Spanning tree Classification Chinese Tracing Eikonal approximation Manuscript character Signal to noise ratio
ISBN:	0780385543, 9780780385542
ISSN:	1522-4880
Online-Zugang:	Volltext
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