Fast iterative methods for variational models in image segmentation

Badshah, Noor (2009) Fast iterative methods for variational models in image segmentation. PhD thesis, University of Liverpool.

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Abstract

Image segmentation is an important branch of computer vision. It aims at extracting meaningM objects lying in images either by dividing images 5 into contiguous semantic regions, or by extracting one or more specific objects in images such as left kidney in CT image. The image segmentation task is, in general, very difficult to achieve since natural images are diverse and complex, and the way we perceive them varies according to individuals.

Item Type:	Thesis (PhD)
Depositing User:	Symplectic Admin
Date Deposited:	20 Oct 2023 09:24
Last Modified:	20 Oct 2023 09:44
DOI:	10.17638/03174422
Copyright Statement:	Copyright © and Moral Rights for this thesis and any accompanying data (where applicable) are retained by the author and/or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3174422