Title :
Cross-correlation registration algorithm based on the image rotation and projection
Author :
Zheng, Lixin ; Wang, Yi ; Hao, Chongyang
Author_Institution :
Sch. of Electron. & Inf., Northwestern Polytech. Univ., Xi´´an, China
Abstract :
To avoid the rotation and the interpolation steps in the image registration, and decrease the data dimension as well as the computational complexity, a cross-correlation registration algorithm based on the image rotational projection was proposed in this paper. It calculated the cross-correlation of the projection and the original image twice according to predictive estimation of the rotation angle in simulation figures. The rotation angle and offset corresponding to the image with bigger cross-correlation is the needed one. Simulations on standard images showed that the proposed algorithm is more accurate and faster than the Fourier transform based algorithm.
Keywords :
computational complexity; correlation methods; image registration; computational complexity; cross-correlation registration algorithm; data dimension; image registration; image rotational projection; predictive estimation; rotation angle; Computational complexity; Correlation; Educational institutions; Fourier transforms; Image registration; Noise; Signal processing algorithms; cross-correlation; image registration; projection; rotation;
Conference_Titel :
Image and Signal Processing (CISP), 2011 4th International Congress on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9304-3
DOI :
10.1109/CISP.2011.6100377