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
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;
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
DOI :
10.1109/URKE.2011.6007800