Title :
MDL region-based image registration
Author :
Rendas, Maria-João ; Barral, Adrien
Author_Institution :
Lab. I3S, Univ. de Nice Sophia Antipolis, Nice, France
Abstract :
We propose a new image registration criterion that uses segmented versions of the images to exploit both the geometric and photometric characteristics of the distinct regions they contain. It is inspired on the minimum description length principle, considering the alignment parameters as side information, in a coding framework. The criterion is robust with respect to unstable segmentation, a frequent problem in close observation of natural scenes. Results on real images illustrate the performance attained.
Keywords :
image registration; image segmentation; coding framework; minimum description length principle; region-based image registration; Biomedical imaging; Cameras; Image registration; Image segmentation; Layout; Mutual information; Photometry; Pixel; Robot vision systems; Robustness;
Conference_Titel :
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location :
Tampa, FL
Print_ISBN :
978-1-4244-2174-9
Electronic_ISBN :
1051-4651
DOI :
10.1109/ICPR.2008.4760951