NDLI: Synthesis performance evaluation of image fusion based on the ameliorating degree of grey euclid incidence

Content Provider	IEEE Xplore Digital Library
Author	Li Junfeng Yang Ye Dai Wenzhan Xiong Weihua
Copyright Year	2012
Description	Author affiliation: Faculty of Mechanical Engineering & Automation, Zhejiang Sci-Tech University, Hangzhou 310018, P.R. China (Li Junfeng; Yang Ye; Dai Wenzhan; Xiong Weihua)
Abstract	In the computational process of the traditional degree of grey incidence, the degree of grey incidence is the average of the incidence coefficients in each spot between the comparison sequence and the reference sequence. so long as the incidence coefficient's algebra in each spot maintains invariable, no matter then how the incidence coefficients in each spot does fluctuate, the degree of grey incidence does not change. This is obviously unreasonable and may be the wrong result in the appraisal. Based on this, the Ameliorating degree of grey Euclid incidence is put up and its characteristic is analyzed in this paper. Moreover, the synthesis performance evaluation of image fusion based on the ameliorating degree of grey euclid incidence is advanced. The proposed approach combines the apriori knowledge and quantization evaluation and realizes the quality synthetic evaluation of image fusion. Extensive experimental analysis shows that the proposed approach performs better on quantization, prevision and objectivity, reliability. The advantages above make it apply properly to fusion system with feedback capability and it enriches and perfects the image fusion system.
Starting Page	3605
Ending Page	3610
File Size	305347
Page Count	6
File Format	PDF
ISBN	9781467325813
ISSN	21612927
e-ISBN	9789881563811
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Chinese Assoc of Automati
Subject Keyword	Performance evaluation Performance Evaluation Degree of Grey Incidence Image Fusion Quantization Discrete wavelet transforms Electronic mail Degree of Grey Euclid Incidence Mechanical engineering Image fusion Manganese
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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