Automatic local parameterization of the Chan Vese active contour model’s force coefficients using edge information

dc.contributor.author	Κορφιάτης, Βασίλειος Χ.	el
dc.contributor.author	Ασβεστάς, Παντελής Α.	el
dc.contributor.author	Ματσόπουλος, Γεώργιος Κ.	el
dc.date.accessioned	2015-06-07T09:21:27Z
dc.date.available	2015-06-07T09:21:27Z
dc.date.issued	2015-06-07
dc.identifier.uri	http://hdl.handle.net/11400/15433
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://www.sciencedirect.com/science/article/pii/S1047320315000322	en
dc.subject	Level Set
dc.subject	Automatic local ratio
dc.subject	Σύνολο επιπέδου
dc.subject	Αυτόματη τοπική ποιότητα
dc.title	Automatic local parameterization of the Chan Vese active contour model’s force coefficients using edge information	en
heal.type	journalArticle
heal.classification	Medicine
heal.classification	Biomedical engineering
heal.classification	Ιατρική
heal.classification	Βιοϊατρική τεχνολογία
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh00006614
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85014237
heal.classificationURI	N/A-Ιατρική
heal.classificationURI	N/A-Βιοϊατρική τεχνολογία
heal.identifier.secondary	doi:10.1016/j.jvcir.2015.02.008
heal.language	en
heal.access	campus
heal.recordProvider	Τ.Ε.Ι. Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Βιοϊατρικής Τεχνολογίας Τ.Ε.	el
heal.publicationDate	2015-05
heal.bibliographicCitation	Korfiatis, V., Asvestas, P. and Matsopoulos, G. (May 2015). Automatic local parameterization of the Chan Vese active contour model’s force coefficients using edge information. Journal of Visual Communication and Image Representation. 29. pp. 71-78. Elsevier B.V: 2015. Available from: http://www.sciencedirect.com/science/article/pii/S1047320315000322 [Accessed 18/02/2015]	en
heal.abstract	Image segmentation is an important field of computer vision that includes algorithms that segment images into foreground and background. Active Contours (AC) is a family of segmentation techniques that has gained high popularity in recent years due to the advantages it provides, including contour deformation, detail preservation and multiple objects identification. One of the most popular AC algorithms is the Chan–Vese (CV) algorithm, which uses region information. This paper presents a novel algorithmic scheme named Automatic Local Ratio (ALR) that extends the original CV algorithm in order to automatically determine its force coefficient’s values, using edge information. Moreover, due to the use of edge information, this scheme provides an alternative to typical edge stopping functions. The proposed scheme is tested on real images, providing superior performance both in terms of qualitative and quantitative results compared to the CV using Gaussian regularization, the SBGFRLS and Fast Edge Integration algorithms.	en
heal.publisher	Elsevier B.V.	en
heal.journalName	Journal of Visual Communication and Image Representation	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	true