On the feasability of automatic segmentation with active contour models in image databases for shape extraction

dc.contributor.advisor	Midtstraum, Roger	nb_NO
dc.contributor.author	Smestad, Ole Marius	nb_NO
dc.date.accessioned	2014-12-19T13:33:04Z
dc.date.available	2014-12-19T13:33:04Z
dc.date.created	2010-09-03	nb_NO
dc.date.issued	2005	nb_NO
dc.identifier	348090	nb_NO
dc.identifier	ntnudaim:1031	nb_NO
dc.identifier.uri	http://hdl.handle.net/11250/250956
dc.description.abstract	In this thesis the image segmentation system EDISON, was tested against an automatic version snake, which is an algorithm active contour models. The algorithms were tested against each to see if an automatic snake algorithm could be feasible for use in an image database for shape extraction. The conducted tests showed that EDISON yielded the best results, and that snake should be given further work before being considered.	nb_NO
dc.language	eng	nb_NO
dc.publisher	Institutt for datateknikk og informasjonsvitenskap	nb_NO
dc.subject	ntnudaim	no_NO
dc.subject	SIF2 datateknikk	no_NO
dc.subject	Program- og informasjonssystemer	no_NO
dc.title	On the feasability of automatic segmentation with active contour models in image databases for shape extraction	nb_NO
dc.type	Master thesis	nb_NO
dc.source.pagenumber	65	nb_NO
dc.contributor.department	Norges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikk, Institutt for datateknikk og informasjonsvitenskap	nb_NO