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Memorial University - Electronic Theses and Dissertations 5
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Document Description
TitleObject contour extraction based on charged snake model
AuthorLiu, Man
DescriptionThesis (M.Sc.)--Memorial University of Newfoundland, 2011. Computer Science
Paginationvii, 91 leaves. : ill.
SubjectImage processing--Digital techniques; Pattern perception--Computer simulation; Pattern recognition systems
Degree GrantorMemorial University of Newfoundland. Dept. of Computer Science
DisciplineComputer Science
NotesBibliography: leaves 66-71.
AbstractThe active contour model, or snake, is one of the most successful variational models in image extraction and segmentation. In this thesis, a novel Charged Snake Model (CSM), based on electrostatic theory for object contour extraction is proposed. This method overcomes several difficulties existing in conventional parametric snake models. A closed contour locates the initial contour of the snake and each point in the initial snake contour is regarded as a charge, which makes the initial CSM snake close enough to the object boundary to allow for faster convergence. Furthermore, due to the interaction among all charges in the snake, the snake model is not sensitive to and is not influenced by the initialization position. As for CSM snake, an improved and associated energy function, with employing additional parameters, is generated. Under the influence of internal and external image dependent forces, the initial CSM snake deforms towards the minimum of the energy function where the object boundary is located and the CSM snake reaches its convergence. By this process, a complete object shape, as well as the object position described by the CSM snake, can be obtained. This shape and position information can then be used in further shape analysis.
Resource TypeElectronic thesis or dissertation
FormatImage/jpeg; Application/pdf
SourcePaper copy kept in the Centre for Newfoundland Studies, Memorial University Libraries
RightsThe author retains copyright ownership and moral rights in this thesis. Neither the thesis nor substantial extracts from it may be printed or otherwise reproduced without the author's permission.
CollectionElectronic Theses and Dissertations
Scanning StatusCompleted
PDF File(10.81 MB) --
CONTENTdm file name28849.cpd