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General Information
    • ISSN: 2010-3719
    • Frequency: Bimonthly
    • DOI: 10.18178/IJIEE
    • Editor-in-Chief: Prof. Chandratilak De Silva Liyanage
    • Associate Executive Editor: Ms. Jennifer Zeng
    • Executive Editor: Mr. Ron C. Wu
    • Abstracting/ Indexing : Google Scholar, Electronic Journals Library, Crossref and ProQuest, Ei (INSPEC, IET).
    • E-mail ijiee@ejournal.net

Faculty of Science, University of Brunei Darussalam, Brunei Darussalam   
" It is a great honor to serve as the editor-in-chief of IJIEE. I'll work together with the editorial team. Hopefully, IJIEE will be recognized among the readers in the related field."
IJIEE 2015 Vol.5(6): 464-468 ISSN: 2010-3719
DOI: 10.7763/IJIEE.2015.V5.580

Using Fuzzy Logic to Enhance the Large Size Remote Sensing Images

Trung Nguyen Tu, Huy Ngo Hoang, and Thoa Vu Van
Abstract— The image enhancement methods based on fuzzy clustering make image which quality clearly higher the traditional methods. However, actually, the methods have problems with the large size remote sensing, that is the inherent disadvantage of the fuzzy clustering algorithms. In addition, the methods only work on each band, therefore the color of image is not conserved after enhancement. This paper presents a new algorithm of image enhancement with combination of two fuzzy clustering levels and multiple bands grey level adjust model which can surmount the above disadvantages.

Index Terms— Image enhancement, fuzzification, defuzzification, grey level adjust.

Trung Nguyen Tu and Thoa Vu Van are with Post & Telecommunications Institute of Technology, Vietnam (e-mail: {trungnt.sremis, thoa236}@gmail.com).
Huy Ngo Hoang is with Institute of Information Technology, Vietnamese Academy of Science and Technology, Vietnam (e-mail: nhhuy@ioit.ac.vn).


Cite: Trung Nguyen Tu, Huy Ngo Hoang, and Thoa Vu Van, " Using Fuzzy Logic to Enhance the Large Size Remote Sensing Images," International Journal of Information and Electronics Engineering vol. 5, no. 6, pp. 464-468, 2015.

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