Share Email Print
cover

Proceedings Paper

Mutual information image registration based on improved bee evolutionary genetic algorithm
Author(s): Gang Xu; Jingzhi Tu
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

In recent years, the mutual information is regarded as a more efficient similarity metrics in the image registration. According to the features of mutual information image registration, the Bee Evolution Genetic Algorithm (BEGA) is chosen for optimizing parameters, which imitates swarm mating. Besides, we try our best adaptively set the initial parameters to improve the BEGA. The programming result shows the wonderful precision of the algorithm.

Paper Details

Date Published: 11 July 2009
PDF: 7 pages
Proc. SPIE 7489, PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering, 748919 (11 July 2009); doi: 10.1117/12.836802
Show Author Affiliations
Gang Xu, North China Electric Power Univ. (China)
Jingzhi Tu, North China Electric Power Univ. (China)


Published in SPIE Proceedings Vol. 7489:
PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering

© SPIE. Terms of Use
Back to Top