DocumentCode :
2909597
Title :
Nonlinear Correlation Measurement Based Registration for Sequential Images
Author :
Jin, Jing ; Wang, Qiang ; Shen, Yi
Author_Institution :
Harbin Inst. of Technol., Harbin
fYear :
2007
fDate :
1-3 May 2007
Firstpage :
1
Lastpage :
5
Abstract :
Registration for sequential images has significant meanings in clinical diagnosis and analysis. Many researches are concentrated on using higher-order mutual information (HMI) to fulfill the registration task. But HMI has some disadvantages, which limit the applications of HMI to a large degree. The paper proposes a new registration measure, called nonlinear correlation information entropy (NCIE), which is revised from mutual information (MI) and can be easily sensitive to the amount of nonlinear correlation information between multiple variables. Using this measure we conduct some simulations. The registration results testify that the registration method based on maximization of NCIE is a very useful and efficient method for sequential images registration.
Keywords :
image registration; image sequences; medical image processing; clinical diagnosis; higher-order mutual information; nonlinear correlation information entropy; nonlinear correlation measurement; sequential image registration; Clinical diagnosis; Geometry; Image analysis; Image processing; Image registration; Information entropy; Instrumentation and measurement; Mutual information; Pattern recognition; Sequential analysis; higher-order mutual information; image registration; nonlinear correlation information entropy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement Technology Conference Proceedings, 2007. IMTC 2007. IEEE
Conference_Location :
Warsaw
ISSN :
1091-5281
Print_ISBN :
1-4244-0588-2
Type :
conf
DOI :
10.1109/IMTC.2007.379112
Filename :
4258143
Link To Document :
بازگشت