DocumentCode
551497
Title
Study on the fast image registration based on genetic algorithm
Author
Feng, Shuai ; Li, Yufeng ; Zhao, Weiping
Author_Institution
Sch. of Electron. & Inf. Eng., Shenyang Aerosp. Univ., Shenyang, China
Volume
1
fYear
2011
fDate
4-7 Aug. 2011
Firstpage
213
Lastpage
216
Abstract
The paper based on the wavelet transform to extract image edge and the necessary high-frequency information. Use a stable circular grid to identify and extract the features of the target image and the image to be matched. Use the simple Variance operation as the target function and combine with the genetic algorithm to optimize the target function. The results show that comparing with the other similar methods, the method in this article still can get the satisfactory results with less computation and the situation of the small scale deformation and angle of rotation of image appearing.
Keywords
edge detection; genetic algorithms; image registration; wavelet transforms; edge extraction; fast image registration; genetic algorithm; stable circular grid; variance operation; wavelet transform; Feature extraction; Genetic algorithms; Genetics; Image registration; Optimization; Wavelet transforms; Genetic Algorithm; image registration; wavelet transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Uncertainty Reasoning and Knowledge Engineering (URKE), 2011 International Conference on
Conference_Location
Bali
Print_ISBN
978-1-4244-9985-4
Electronic_ISBN
978-1-4244-9984-7
Type
conf
DOI
10.1109/URKE.2011.6007800
Filename
6007800
Link To Document