A faster converging snake algorithm to locate object boundaries

A different contour search algorithm is presented in this paper that provides a faster convergence to the object contours than both the greedy snake algorithm (GSA) and the fast greedy snake (FGSA) algorithm. This new algorithm performs the search in an alternate skipping way between the even and od...

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Veröffentlicht in:	IEEE transactions on image processing 2006-05, Vol.15 (5), p.1182-1191
Hauptverfasser:	Sakalli, M., Lam, K.-M., Hong Yan
Format:	Artikel
Sprache:	eng
Schlagworte:	Active contour model Active contours Algorithms Applied sciences Artificial Intelligence Biomedical imaging Boundaries boundary detection Convergence Electronic mail Exact sciences and technology Face - anatomy & histology Face detection fast greedy snake algorithm (FGSA) greedy snake algorithm (GSA) Humans Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Image processing Image segmentation Information Storage and Retrieval - methods Information, signal and communications theory locating human face boundaries Miscellaneous Pattern recognition Pattern Recognition, Automated - methods Searching Shape Signal processing Signal processing algorithms Snakes Telecommunications and information theory Twisting
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