dc.contributor.advisor | Bø, Ketil | nb_NO |
dc.contributor.author | Flaten, Erlend | nb_NO |
dc.date.accessioned | 2014-12-19T13:33:00Z | |
dc.date.available | 2014-12-19T13:33:00Z | |
dc.date.created | 2010-09-03 | nb_NO |
dc.date.issued | 2005 | nb_NO |
dc.identifier | 348068 | nb_NO |
dc.identifier | ntnudaim:1006 | nb_NO |
dc.identifier.uri | http://hdl.handle.net/11250/250930 | |
dc.description.abstract | Segmentation 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.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 | Using genetic algorithms for improving segmentation. | nb_NO |
dc.type | Master thesis | nb_NO |
dc.source.pagenumber | 70 | nb_NO |
dc.contributor.department | Norges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikk, Institutt for datateknikk og informasjonsvitenskap | nb_NO |