An improved discontinuity-preserving image registration model and its fast algorithm
Zhang, Jin and Chen, Ke and Yu, Bo (2016) An improved discontinuity-preserving image registration model and its fast algorithm. Applied Mathematical Modelling, 40 (23-24). pp. 10740-10759. ISSN 0307-904X (https://doi.org/10.1016/j.apm.2016.08.009)
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Abstract
Recently, Chumchob–Chen(2010) proposed a discontinuity-preserving image registration model which was more flexible than those common techniques such as the diffusion and total variation based regularization techniques. However, each component of displacement field is regularized separately in this model and then the nonlinear diffusion processes resulting from the first variation of the discontinuity-preserving regularization do not enforce coupling between the primary components of the displacement field. Thus the discontinuity-preserving model may prevent to obtain a good registration in some situations, for example non-smooth registration problems with non-axis-aligned discontinuities. To utilize interdependence between the primary components of the deformation field for smooth and non-smooth registration problems, we propose an improved discontinuity-preserving image registration model in this paper, second we propose an idea of relaxed fixed point combining with Gauss–Newton scheme with Armijo's line search for solving the new model and further to combine with a multilevel method to achieve fast convergence. Numerical experiments not only confirm that our proposed method is efficient and stable, but also it can give more satisfying registration results according to image quality.
ORCID iDs
Zhang, Jin, Chen, Ke ORCID: https://orcid.org/0000-0002-6093-6623 and Yu, Bo;-
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Item type: Article ID code: 87418 Dates: DateEvent1 December 2016Published12 August 2016Published Online9 August 2016Accepted7 July 2015SubmittedSubjects: Science > Mathematics Department: Faculty of Science > Mathematics and Statistics Depositing user: Pure Administrator Date deposited: 22 Nov 2023 15:00 Last modified: 11 Nov 2024 14:07 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/87418