DocumentCode :
3458053
Title :
Uniform Sampling BSIR Method for Image Registration
Author :
Zuo Xin ; Dai Xiubin ; Luo Limin ; Zhu Feng ; Zhang Feng
Author_Institution :
Lab. of Image Sci. & Technol., Southeast Univ., Nanjing, China
fYear :
2010
fDate :
21-23 Oct. 2010
Firstpage :
1
Lastpage :
5
Abstract :
In this paper, we propose a more accurate method to align two images under rotation, scaling, blurring in weak texture image. This method utilizes the uniform log-polar sampling (ULP) technique in order to overcome the problem of over-sampling in the fovea area and under-sampling in the peripheral area which affects the accuracy of registration. The proposed method can effectively estimate the rotation and scale parameters more precisely and can also deal with center occlusion. Experimental results demonstrate the effectiveness and robustness of the proposed approach in registrations with geometry transformation, blurring and center occlusion.
Keywords :
image registration; image texture; center occlusion; geometry transformation; image registration; over-sampling; rotation parameters; scale parameters; under-sampling; uniform log-polar sampling technique; uniform sampling blur and similarity transform invariant registration method; weak texture image; Accuracy; Computer science; Image registration; Magnetic resonance; Pixel; Robustness; Transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition (CCPR), 2010 Chinese Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-7209-3
Electronic_ISBN :
978-1-4244-7210-9
Type :
conf
DOI :
10.1109/CCPR.2010.5659248
Filename :
5659248
Link To Document :
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