DocumentCode :
2314918
Title :
An image registration algorithm using a particle filters
Author :
Kasetkasem, T. ; Homsup, N. ; Meetit, D.
Author_Institution :
Electr. Eng. Dept., Kasetsart Univ., Bangkok
fYear :
2009
fDate :
6-9 May 2009
Firstpage :
1120
Lastpage :
1123
Abstract :
The image registration is the process to overlay two or more images taking at different times. The image registration is a very important step in medical imaging as well as in remote sensing to quantify changes occurring over times. Most image registration algorithms measures the distances between two images and try to find the transformation that these distance is minimum. However, the distance function is usually multimodal and non-convex. Hence, the gradient-based algorithms usually stuck in one of the local optima. As a result, we propose the use of the particle filtering algorithm to search for the global optima.
Keywords :
gradient methods; image registration; particle filtering (numerical methods); search problems; global optima search; gradient-based algorithm; image registration algorithm; local optima search; medical imaging; multimodal distance function; nonconvex distance function; particle filtering algorithm; remote sensing; Biological cells; Biomedical engineering; Biomedical imaging; Convergence; Genetic algorithms; Image registration; Layout; Particle filters; Remote sensing; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, 2009. ECTI-CON 2009. 6th International Conference on
Conference_Location :
Pattaya, Chonburi
Print_ISBN :
978-1-4244-3387-2
Electronic_ISBN :
978-1-4244-3388-9
Type :
conf
DOI :
10.1109/ECTICON.2009.5137241
Filename :
5137241
Link To Document :
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