Image Segmentation Using an Active Contour Model Based on the Difference Between Local Intensity Averages and Actual Image Intensities

Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/20700

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DC Field	Value	Language
dc.contributor.author	Shan, X	-
dc.contributor.author	Gong, X	-
dc.contributor.author	Ren, Y	-
dc.contributor.author	Nandi, AK	-
dc.date.accessioned	2020-04-21T13:32:26Z	-
dc.date.available	2020-03-12	-
dc.date.available	2020-04-21T13:32:26Z	-
dc.date.issued	2020-02-24	-
dc.identifier.citation	IEEE Access, 2020, 8 pp. 43200 - 43214	en_US
dc.identifier.issn	http://dx.doi.org/10.1109/access.2020.2975854	-
dc.identifier.issn	2169-3536	-
dc.identifier.uri	http://bura.brunel.ac.uk/handle/2438/20700	-
dc.format.extent	43200 - 43214	-
dc.language.iso	en	en_US
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)	en_US
dc.subject	Image segmentation	en_US
dc.subject	active contour model	en_US
dc.subject	adjustment coefﬁcient functions	en_US
dc.subject	intensity inhomogeneity	en_US
dc.title	Image Segmentation Using an Active Contour Model Based on the Difference Between Local Intensity Averages and Actual Image Intensities	en_US
dc.type	Article	en_US
dc.identifier.doi	http://dx.doi.org/10.1109/access.2020.2975854	-
dc.relation.isPartOf	IEEE Access	-
pubs.publication-status	Published	-
pubs.volume	8	-
Appears in Collections:	Dept of Electronic and Electrical Engineering Research Papers

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