Title :
A robust coarse-to-fine sub-pixel registration method under noisy conditions
Author :
Zhang, Boyang ; Chen, Changbing ; Yan, Hua ; Liu, Wei
Author_Institution :
Sch. of Inf. Sci. & Eng., Shandong Univ., Jinan, China
Abstract :
Image registration is an important task in the field of computer vision and pattern recognition. In this paper, we propose a robust sub-pixel registration algorithm which is based on multi-resolution and new edge detection interpolation method. After applying truncated window function to the images to be registration, the low-pass bands of the wavelet decomposition are applied to build the image pyramid. Performance of our proposed algorithm is compared with other method using the same block matching algorithm and mutual information similarity measure. The results show that our proposed algorithm is effective for noisy degradation condition and can lead to highly accurate image registration.
Keywords :
edge detection; image registration; interpolation; block matching algorithm; computer vision; edge detection interpolation; image pyramid; image registration; multiresolution; mutual information similarity measure; noisy degradation condition; pattern recognition; robust coarse-to-fine sub-pixel registration; truncated window function; wavelet decomposition; Accuracy; Image registration; Image resolution; Interpolation; Noise; Pixel; Robustness; NEDI; Sub-pixel registration; wavelet decomposition;
Conference_Titel :
Signal Processing (ICSP), 2010 IEEE 10th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-5897-4
DOI :
10.1109/ICOSP.2010.5655880