DocumentCode :
3489162
Title :
A probabilistic Demons algorithm for texture-rich image registration
Author :
Yang, Di ; Li, Hongdong
Author_Institution :
RSISE, Australian Nat. Univ., Acton, ACT, Australia
fYear :
2009
fDate :
7-10 Nov. 2009
Firstpage :
161
Lastpage :
164
Abstract :
Demons algorithm has attracted considerable attention from the image processing community for registering (i.e., matching/aligning) deformable objects or images. It is observed that this algorithm is particularly successful when it applies to nonrigid object having homogenous region, but often fails when the object of interest is rich in texture. This is mainly because the Demons algorithm tends to overfit the many spurious edges inside the texture-rich region, consequently leading to erroneous thermodynamic `forces´. In this paper, we describe a probabilistic Demons algorithm that overcomes this problem. Our key idea is to re-formulate the deformable registration problem in Bayesian statistics framework. The result is a new and more robust Demons algorithm able to capture the essence (e.g., the mass) of a deformable image/object even it is rich in texture. This will significantly expand the applicable scopes of the traditional Demons algorithm. We give encouraging experimental results on real test images.
Keywords :
Bayes methods; image registration; image texture; probability; Bayesian statistics framework; deformable object registration; deformable registration problem; image processing community; probabilistic Demons algorithm; texture-rich image registration; thermodynamic forces; Application software; Australia; Bayesian methods; Biomedical imaging; Biomedical optical imaging; Image motion analysis; Image registration; Optical computing; Robustness; Thermodynamics; Demons Algorithm; Image Registration; Model-based fitting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
ISSN :
1522-4880
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2009.5414137
Filename :
5414137
Link To Document :
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