Variational Image Segmentation with Constraints
Access Status
Open access
Authors
Pan, Huizhu
Date
2020Supervisor
Wan-Quan Liu
Ling Li
Type
Thesis
Award
MPhil
Metadata
Show full item recordFaculty
Science and Engineering
School
School of Electrical Engineering, Computing and Mathematical Sciences
Collection
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.
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