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General Information
    • ISSN: 2010-3689
    • Frequency: Bimonthly (2011-2014); Monthly (Since 2015)
    • DOI: 10.18178/IJIET
    • Editor-in-Chief: Prof. Dr. Steve Thatcher
    • Executive Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: EI (INSPEC, IET), Electronic Journals Library, Google Scholar, Crossref and ProQuest
    • E-mail: ijiet@ejournal.net
Editor-in-chief
Prof. Dr. Steve Thatcher
University of South Australia, Australia
It is my honor to be the editor-in-chief of IJIET. The journal publishes good papers which focous on the advanced researches in the field of information and education technology. Hopefully, IJIET will become a recognized journal among the scholars in the filed of information and education technology.
IJIET 2013 Vol.3(2): 249-253 ISSN: 2010-3689
DOI: 10.7763/IJIET.2013.V3.274

An Improved Adaptive Fusion Image Windows Based Technology

Hui Xia

Abstract—In dim condition, by using a light sensor and infrared sensor can make up for human’s visual defects and make better observation of the object and background environment. If combining the image information from the two sensors at the same time and the same place, you can generate a new image with more information, precision and credibility; however traditional windows based weighted average fusion algorithm has some limitations, the paper put forward an fusion algorithm with an improved adaptive threshold based on windows in dim conditions. By contrast experiment, it proved that the value of entropy, average gradient and edge retention of the improved method have been all increased, and the effect of image fusion has also been changed better.

Index Terms—Algorithm, fusion image, entropy, edge preserving degree.

Hui Xia is with Software College of Shenyang Normal University , Liaoning Province, China (e-mail: freund_xia@yahoo.com.cn).

[PDF]

Cite: Hui Xia, "An Improved Adaptive Fusion Image Windows Based Technology," International Journal of Information and Education Technology vol. 3, no. 2, pp. 249-253, 2013.

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