@Article{IJNAM-13-969,
author = {J. Zhang and K. Chen},
title = {A New Curvature-Based Image Registration Model and Its Fast Algorithm},
journal = {International Journal of Numerical Analysis and Modeling},
year = {2016},
volume = {13},
number = {6},
pages = {969--985},
abstract = {<p style="text-align: justify;">Recently, Chumchob-Chen-Brito (2011) proposed the so-called mean curvature model
which appeared to deliver better registration results for both smooth and non-smooth deformation
fields than a large class of competing methods. However, the two displacement variables in
a deformation field are regularized separately in their model and so coupling between them is
not present. Therefore their mean curvature model has a weakness and may not yield the best
registration results in some situations such as in non-smooth registration problems with non-axis-aligned discontinuities, as expected of a high order model. To design a new model based
on interdependence between components of the deformation field, suitable for smooth and non-smooth
registration problems, we propose a new vectorial curvature regularizer in this paper and
present an iterative method for numerical solution of the resulting variational model. Experiments
using both synthetic and realistic images confirm that the proposed model is more robust than
the Chumchob-Chen-Brito (2011) model in registration quality for a wide range of examples.</p>},
issn = {2617-8710},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/ijnam/474.html}
}