An algebraic framework for deformable image registration

Zsolt Santa, Z. Kato

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a novel approach to deformable image registration using a parametric transformation model. The aligning transformation is simply found by solving a system of non-linear equations. Each equation is generated by integrating the product of a set of polynomial functions and the image intensity function over corresponding image domains. The capabilities of the algorithm have been studied on synthetic and real datasets on which it compares favorably to state of the art methods in terms of alignment accuracy.

Original languageEnglish
Title of host publication2016 23rd International Conference on Pattern Recognition, ICPR 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3792-3797
Number of pages6
ISBN (Electronic)9781509048472
DOIs
Publication statusPublished - Apr 13 2017
Event23rd International Conference on Pattern Recognition, ICPR 2016 - Cancun, Mexico
Duration: Dec 4 2016Dec 8 2016

Other

Other23rd International Conference on Pattern Recognition, ICPR 2016
CountryMexico
CityCancun
Period12/4/1612/8/16

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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  • Cite this

    Santa, Z., & Kato, Z. (2017). An algebraic framework for deformable image registration. In 2016 23rd International Conference on Pattern Recognition, ICPR 2016 (pp. 3792-3797). [7900225] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPR.2016.7900225