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dc.contributor.advisorBø, Ketilnb_NO
dc.contributor.authorFlaten, Erlendnb_NO
dc.date.accessioned2014-12-19T13:33:00Z
dc.date.available2014-12-19T13:33:00Z
dc.date.created2010-09-03nb_NO
dc.date.issued2005nb_NO
dc.identifier348068nb_NO
dc.identifierntnudaim:1006nb_NO
dc.identifier.urihttp://hdl.handle.net/11250/250930
dc.description.abstractSegmentation is one of the core fields in image processing, and the first difficult step in processing and understanding images. There are dozens of different segmentation algorithm, but all these algorithms have some kind of “Achilles’ heal”, or may be limited to one or a few domains . This paper presents a possible solution to avoid problems with single segmentation algorithms by making it possible to use several algorithms. The algorithms can be used separately or in sequences of algorithms. Finally, an application is developed to give some insight into this new way of segmenting.nb_NO
dc.languageengnb_NO
dc.publisherInstitutt for datateknikk og informasjonsvitenskapnb_NO
dc.subjectntnudaimno_NO
dc.subjectSIF2 datateknikkno_NO
dc.subjectProgram- og informasjonssystemerno_NO
dc.titleUsing genetic algorithms for improving segmentation.nb_NO
dc.typeMaster thesisnb_NO
dc.source.pagenumber70nb_NO
dc.contributor.departmentNorges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikk, Institutt for datateknikk og informasjonsvitenskapnb_NO


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