A Novel Approach to Image Enhancement using FUZZY Set

著者

  • Gunamani Jena ME CSE, PhD, FIE, MIEEE, LMISTE, MCSI

キーワード:

FT、 Fourier Transform、 FUZZY set、 Membership、 FE、 Fuzzy enhancement method、 GT、 gray transformation

要旨

In this paper FUZZY set has been used to deal with image enhancement problems of some uncertain and inaccurate image. The traditional image enhancement method like histogram modification, image smoothing, image sharpening inverse filters and wiener filter for inaccurate and uncertain image is undesirable. As fuzzy system is capable of representing diverse, non-exact, uncertain and inaccurate knowledge of information, it has attracted the attention of for image enhancement. The generalized enhancement algorithm proposed by Dong Liang Peng and Tie-Jun-Wu in 2002 [1] is not suitable for images having very less gray values, lower contrast, more uncertainly and inaccuracy. A novel approach to generalized image enhancement using fuzzy set is proposed in this paper to overcome the problem.Keywords: FT: Fourier Transform, FUZZY set, Membership, FE: Fuzzy enhancement method, GT: gray transformation

著者略歴

  • Gunamani Jena、 ME CSE, PhD, FIE, MIEEE, LMISTE, MCSI
    Professor and Head of CSE departmentBVC Engg College, Odalarevu, Amlapuram, EG, AP 533210Affiliated to JNTUK,Accrediated by NBA of AICTE, New Delhi

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発行日

2011-03-25

巻号

巻 2 号 1 (2011)

セクション

Research Articles

ライセンス

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