DocumentCode :
2153510
Title :
Image fusion method considering region&texture feature
Author :
Liu, Gang ; Huang, Guohong
Author_Institution :
Shanghai Key Lab. of Power Station Autom. Technol., Shanghai Univ. of Electr. Power, Shanghai, China
Volume :
2
fYear :
2010
fDate :
26-28 Feb. 2010
Firstpage :
79
Lastpage :
83
Abstract :
In this paper, a new multi-scale scheme for image fusion is presented using texture and edge information. The original images are decomposed into texture and edge maps by pyramid structures. The coefficients corresponding to the filtered texture and edge maps are solved by the singular value decomposition and the linear relationship between Gauss filter and Laws texture extract filter. The decomposed images are represented using the texture and edge features in each scale, and fused using fuzzy region based strategy. To evaluate the fusion results, an objective image fusion performance metrics are used. The experiment results demonstrate by several real image data that the proposed scheme can achieve better fusion performance than the traditional pyramid decomposition methods.
Keywords :
edge detection; image fusion; image representation; image texture; Gauss filter; edge features; edge information; edge maps; fuzzy region based strategy; image representation; laws texture extract filter; multiscale scheme; objective image fusion performance metrics; pyramid decomposition method; pyramid structures; real image data; singular value decomposition; texture feature; Application software; Automation; Gaussian processes; Image fusion; Laboratories; Measurement; Nonlinear filters; Power generation; Singular value decomposition; Visual system; image fusion; image pyramid decomposition; texture feature;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-5585-0
Electronic_ISBN :
978-1-4244-5586-7
Type :
conf
DOI :
10.1109/ICCAE.2010.5451388
Filename :
5451388
Link To Document :
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