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dc.contributor.authorPan, Huizhu
dc.contributor.supervisorWan-Quan Liuen_US
dc.contributor.supervisorLing Lien_US
dc.date.accessioned2020-09-02T01:46:14Z
dc.date.available2020-09-02T01:46:14Z
dc.date.issued2020en_US
dc.identifier.urihttp://hdl.handle.net/20.500.11937/80866
dc.description.abstract

The research of Huizhu Pan addresses the problem of image segmentation with constraints though designing and solving various variational models. A novel constraint term is designed for the use of landmarks in image segmentation. Two region-based segmentation models were proposed where the segmentation contour passes through landmark points. A more stable and memory efficient solution to the self-repelling snakes model, a variational model with the topology preservation constraint, was also designed.

en_US
dc.publisherCurtin Universityen_US
dc.titleVariational Image Segmentation with Constraintsen_US
dc.typeThesisen_US
dcterms.educationLevelMPhilen_US
curtin.departmentSchool of Electrical Engineering, Computing and Mathematical Sciencesen_US
curtin.accessStatusOpen accessen_US
curtin.facultyScience and Engineeringen_US


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