B. Alfano, M. Ciampi, G. De Pietro
A Wavelet-based Algorithm for Multimodal Medical Image Fusion
Proc. of The Second International Conference on Semantic and Digital Media Technologies (SAMT 2007), Genoa, Italy, December 5-7, 2007, LNCS 4816 Springer-Verlag Berlin/Heidelberg 2007, pp. 117-120, ISBN 978-3-540-77033-6, ISSN 0302-9743
Abstract:
Medical images coming from different sources can often provide
different information. So, combining two or more co-registered multimodal
medical images into a single image (image fusion) is an important
support to the medical diagnosis. Most of the used image fusion techniques
are based on the Multiresolution Analysis MRA, which is able
to decompose an image into several components at different scales. This
paper presents a novel Wavelet-based method to fuse medical images
according to the MRA approach, that aims to put the right semantic
content in the fused image by applying two different quality indexes: variance
and modulus maxima. Experimental tests show very encouraging
results in terms of both quantitative and qualitative evaluations.
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