CLC number: TP391.4
On-line Access:
Received: 2005-07-10
Revision Accepted: 2005-12-04
Crosschecked: 0000-00-00
Cited: 1
Clicked: 6031
Liu Gang, Jing Zhong-liang, Sun Shao-yuan. Multiresolution image fusion scheme based on fuzzy region feature[J]. Journal of Zhejiang University Science A, 2006, 7(2): 117-122.
@article{title="Multiresolution image fusion scheme based on fuzzy region feature",
author="Liu Gang, Jing Zhong-liang, Sun Shao-yuan",
journal="Journal of Zhejiang University Science A",
volume="7",
number="2",
pages="117-122",
year="2006",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2006.A0117"
}
%0 Journal Article
%T Multiresolution image fusion scheme based on fuzzy region feature
%A Liu Gang
%A Jing Zhong-liang
%A Sun Shao-yuan
%J Journal of Zhejiang University SCIENCE A
%V 7
%N 2
%P 117-122
%@ 1673-565X
%D 2006
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2006.A0117
TY - JOUR
T1 - Multiresolution image fusion scheme based on fuzzy region feature
A1 - Liu Gang
A1 - Jing Zhong-liang
A1 - Sun Shao-yuan
J0 - Journal of Zhejiang University Science A
VL - 7
IS - 2
SP - 117
EP - 122
%@ 1673-565X
Y1 - 2006
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2006.A0117
Abstract: This paper proposes a novel region based image fusion scheme based on multiresolution analysis. The low frequency band of the image multiresolution representation is segmented into important regions, sub-important regions and background regions. Each feature of the regions is used to determine the region’s degree of membership in the multiresolution representation, and then to achieve multiresolution representation of the fusion result. The final image fusion result can be obtained by using the inverse multiresolution transform. Experiments showed that the proposed image fusion method can have better performance than existing image fusion methods.
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