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http://dx.doi.org/10.5391/JKIIS.2012.22.3.287

An Efficient Image Registration Based on Multidimensional Intensity Fluctuation  

Cho, Yong-Hyun (대구가톨릭대학교 컴퓨터정보통신공학부)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.22, no.3, 2012 , pp. 287-293 More about this Journal
Abstract
This paper presents an efficient image registration method by measuring the similarity, which is based on multi-dimensional intensity fluctuation. Multi-dimensional intensity which considers 4 directions of the image, is applied to reflect more properties in similarity decision. And an intensity fluctuation is also applied to measure comprehensively the similarity by considering a change in brightness between the adjacent pixels of image. The normalized cross-correlation(NCC) is calculated by considering an intensity fluctuation to each of 4 directions. The 5 correlation coefficients based on the NCC have been used to measure the registration, which are total NCC, the arithmetical mean and a simple product on the correlation coefficient of each direction and on the normalized correlation coefficient by the maximum NCC, respectively. The proposed method has been applied to the problem for registrating the 22 face images of 243*243 pixels and the 9 person images of 500*500 pixels, respectively. The experimental results show that the proposed method has a superior registration performance that appears the image properties well. Especially, the arithmetical mean on the correlation coefficient of each direction is the best registration measure.
Keywords
Image Registration; Similarity criterion; Intensity Fluctuation; Normalized cross-correlation;
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