JOURNAL OF MULTIMEDIA (JMM)
ISSN : 1796-2048
Volume : 4    Issue : 3    Date : June 2009

DSA Image Fusion Based on Dynamic Fuzzy Logic and Curvelet Entropy
Guangming Zhang, Zhiming Cui, Fanzhang Li, and Jian Wu
Page(s): 129-136
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Abstract
The curvelet transform as a multiscale transform has directional parameters occurs at all scales,
locations, and orientations. It is superior to wavelet transform in image processing domain. This
paper analyzes the characters of DSA medical image, and proposes a novel approach for DSA
medical image fusion, which is using curvelet information entropy and dynamic fuzzy logic. Firstly,
the image was decomposed by curvelet transform to obtain the different level information. Then the
entropy from different level of DSA medical image was calculated, and a membership function
based on dynamic fuzzy logic was constructed to adjust the weight for image subbands coefficients
via entropy. At last an inverse curvelet transform was applied to reconstruct the image to synthesize
one DSA medical image which could contain more integrated accurate detail information of blood
vessels than any one of the individual source images. By compare, the efficiency of our method is
better than weighted average, laplacian pyramid and traditional wavelet transform method.

Index Terms
curvelet transform, DSA image fusion, entropy, dynamic fuzzy logic