NDLI: A synergetic prototype vectors fusion reconstruction classification algorithm based on nonsubsampled contourlet transform

Content Provider	IEEE Xplore Digital Library
Author	Zou Gang Yi Fan Ao Yong-Hong Yao Wei Sun Ji-Xiang
Copyright Year	2010
Description	Author affiliation: Department Institute of electronic engineering, National university of Defence Technology ChangSha, China (Yao Wei; Sun Ji-Xiang) \|\| Information Center, National university of Defence Technology ChangSha, China (Zou Gang; Yi Fan; Ao Yong-Hong)
Abstract	The selection of synergetic prototype vectors of synergetic approach is very important to pattern recognition, which set the tone for the recognition performance of synergetic approach. Contourlet is a new image representation scheme which has the directionality and anisotropy. In this paper, the characteristic of contourlet transform is analyzed firstly. Then a new fusion method for prototype vectors generation is proposed based on contourlet transform. Finally, the coefficients structure and fusion procedure are discussed and analyzed. Experiment results show that the method of prototype vectors generation is effective and it improves the recognition rate greatly.
Starting Page	279
Ending Page	283
File Size	596752
Page Count	5
File Format	PDF
ISBN	9781424452637
DOI	10.1109/ICIME.2010.5478045
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Prototype Vectors Contourlet Transform Classification algorithms Pattern recognition Synergetic Pattern Recognition Sun Equations Image reconstruction Design engineering Anisotropic magnetoresistance Prototypes Fusion power generation Image representation Fusion
Content Type	Text
Resource Type	Article

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