Show simple item record

dc.contributor.authorPan, Huizhu
dc.contributor.supervisorWan-Quan Liuen_US
dc.contributor.supervisorLing Lien_US

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.

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

Files in this item


This item appears in the following Collection(s)

Show simple item record