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March 2014 Volume.1 Issue.1
 
Multimodel Medical Image Fusion using Cross Scale Coefficient Selection (CS)
International Journal of Advanced Computing and Communication Systems (IJACCS)
© 2014 by IJACCS Journal
Volume - 1, Issue - 1
Year of Publication: March 2014
Author's: Sivasangumani.S, Gomathi.P.S, Vijay.N Paper ID: IJECE103
 
Full Text
 
Citation
Sivasangumani.S, Gomathi.P.S, Vijay.N. Multimodel Medical Image Fusion using Cross Scale Coefficient Selection (CS). International Journal of Advanced Computing and Communication Systems (IJACCS). Volume.1 Issue.1 March 2014.
 
Abstract
Medical data analysis from different imaging modalities has been increased in medical field . The image fusion techniques is the efficient way of combining and enhancing medical imaging information, have drawn increasing concentration from the medical community. In this paper, we propose a novel CROSS SCALE COEFFICIENT selection fusion rule for laplacian pyramidal multiscale decomposition-based fusion of medical images taking into account both intrascale and interscale consistencies. An optimal set of coefficients from the multiscale representations of the source images is determined by effective exploitation of neighborhood information. An efficient fusion scheme is also proposed. Experiments demonstrate that our fusion rule generates better results than existing rules.
 
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Keywords
Image fusion, LPT decomposition, Membership Functions, CS fusion rule, medical image fusion, multiscale analysis.
 

 

 
 
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