International Journal of Advanced Computing and Communication Systems

Multimodel Medical Image Fusion using Cross Scale Coefficient Selection (CS)

Sivasangumani S, Gomathi P S and Vijay N, Applied Electronics, ECE Department, VSBEC, Karudayampalayam, Tamil Nadu, India.

International Journal of Advanced Computing and Communication Systems

ISSN (Online) : 2347 - 9299

ISSN (Print) : 2347 - 9280

Received On : 04 January 2014

Revised On : 04 February 2014

Accepted On : 15 February 2014

Published On : 05 March 2014

Volume 01, Issue 01

Page No : 006-010

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.

Keywords

Image fusion, LPT decomposition, Membership Functions, CS fusion rule, medical image fusion, multiscale analysis.

Cite this Article

Sivasangumani S, Gomathi P S and Vijay N, “Multimodel Medical Image Fusion using Cross Scale Coefficient Selection (CS),” International Journal of Advanced Computing and Communication Systems, pp. 006-010, March, 2014.

Copyright

© 2014 Sivasangumani S, Gomathi P S and Vijay N. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.