Image registration method based on evolutionary modeling with constraints

Zongyue Wang; Hongchao Ma; Jianwei Zhang; Zhangcan Huang; Jianwei Wu; Honggen Xu

doi:10.1117/12.749751

15 November 2007 Image registration method based on evolutionary modeling with constraints

Zongyue Wang, Hongchao Ma, Jianwei Zhang, Zhangcan Huang, Jianwei Wu, Honggen Xu

Author Affiliations +

Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 678630 (2007) https://doi.org/10.1117/12.749751
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

Considering the deficiency of mapping model in traditional image registration, a new image registration method based on evolutionary modeling is proposed in this paper. Multi Expression Programming has been used as modeling tool to build mapping model. To avoid over fitting and improve actual effective, constraints of the mapping function's slope and curvature were added during modeling process. SAR image and optical image rectifying experiment is given in the last. The experiment result indicated that the evolutionary model has high precision for image registration. This method is fit for image registration.

Citation Download Citation

Zongyue Wang, Hongchao Ma, Jianwei Zhang, Zhangcan Huang, Jianwei Wu, and Honggen Xu "Image registration method based on evolutionary modeling with constraints", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 678630 (15 November 2007); https://doi.org/10.1117/12.749751

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE