A deformable grid approach for Bayesian image registration

Michele Ceccarelli, Mich Ele Donatiello

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

2 Citations (Scopus)

Abstract

The paper presents a novel non parametric image registration method based on an explicit representation of the warping function. The image registration problem is approached in the Bayesian framework with a prior term given by a Gaussian random field accounting the regularity of a deformable grid. The algorithm is completely unsupervised, making it suitable for high throughput biomedical applications such as proteomics and cellular imaging.

Original languageEnglish
Title of host publicationProceedings of the 5th IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, SPPRA 2008
Pages145-150
Number of pages6
Publication statusPublished - 1 Dec 2008
Externally publishedYes
Event5th IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, SPPRA 2008 - Innsbruck, Austria
Duration: 13 Feb 200815 Feb 2008

Other

Other5th IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, SPPRA 2008
CountryAustria
CityInnsbruck
Period13/2/0815/2/08

Fingerprint

Image registration
Throughput
Imaging techniques
Proteomics

Keywords

  • Biomedical image processing
  • Image matching
  • Markov random fields

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

Ceccarelli, M., & Donatiello, M. E. (2008). A deformable grid approach for Bayesian image registration. In Proceedings of the 5th IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, SPPRA 2008 (pp. 145-150)

A deformable grid approach for Bayesian image registration. / Ceccarelli, Michele; Donatiello, Mich Ele.

Proceedings of the 5th IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, SPPRA 2008. 2008. p. 145-150.

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

Ceccarelli, M & Donatiello, ME 2008, A deformable grid approach for Bayesian image registration. in Proceedings of the 5th IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, SPPRA 2008. pp. 145-150, 5th IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, SPPRA 2008, Innsbruck, Austria, 13/2/08.
Ceccarelli M, Donatiello ME. A deformable grid approach for Bayesian image registration. In Proceedings of the 5th IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, SPPRA 2008. 2008. p. 145-150
Ceccarelli, Michele ; Donatiello, Mich Ele. / A deformable grid approach for Bayesian image registration. Proceedings of the 5th IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, SPPRA 2008. 2008. pp. 145-150
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