Herein one proposes a mutual information-based registration method using pixelgradient information rather than pixel intensity information. Special care is paid to finding the global maximum of the registration function. In particular, one uses simulated annealing method speeded up by including a statistical analysis to reduce the next search space across the cooling, schedule. An additional speed up is obtained by combining this numerical strategy with hill-climbing method. Experimental results obtained on a limiteddatabase of biological images illustrate that the proposed method for image registration is relatively fast and performs well as the overlap betweenthe floating and reference images is decreased and/or the image resolution is coarsened.

Rights

URN

URN:NBN:SI:DOC-BJFDJ3NZ

COBISSID

20442585

Added

16.09.2009

Metadata

Citation

APA:

Wang, Xiaoxiang, Tian, Jie (2005). Image registration based on maximization of gradient code mutual information. Image analysis and stereology, volume 24, issue 1, str. 1-7. URN:NBN:SI:DOC-BJFDJ3NZ from http://www.dlib.si

MLA:

Wang, Xiaoxiang, Tian, Jie. "Image registration based on maximization of gradient code mutual information." Image analysis and stereology volume 24. issue 1 (2005) str. 1-7.
<http://www.dlib.si/?URN=URN:NBN:SI:DOC-BJFDJ3NZ>

Image analysis & stereology
2000-
(Assembly record)