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Issue:Intuitionistic fuzzy image processing

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http://ifigenia.org/wiki/issue:nifs/11/5/15-23
Title of paper: Intuitionistic fuzzy image processing
Author(s):
Rangasamy Parvathi
Vellalar College for Women, Erode - 638 009, Tamilnadu, India
N. Palaniappan
Alagapa University, Karaikudi - 630 003, Tamilnadu, India
Published in: "Notes on IFS", Volume 11, 2005, Number 5, pages 15-23
Download:  PDF (4716  Kb, Info)
Abstract: Human visual system can only perceive a few colours at a time. The proposed system attempts to obtain low-level colour features that incorporate knowledge of human perception.

One of the most important characteristics of human colour perception is that the human eye cannot simultaneously perceive a large number of colours. In the proposed system, the contrast which is added in the output helps to segment the image as well as to mine some knowledge about the image using the chromocity coordinates of the image processed.

Keywords: Intuitionistic fuzzy image processing (IFIP), Contrast intensification, Intuitionistic fuzzy sets of second type (IFSST).
References:
  1. Atanassov K.T., Intuitionistic Fuzzy Sets: Theory and Applications, 1999, Springer-Verlag, Newyork.
  2. De S.K, Ranjit Biswas, Roy A.R, Some operations on intuitionistic fuzzy sets. Fuzzy sets and systems, 114 (2000), 477 - 484.
  3. Mondal Tapas Kumar, Samanta. S.K, Generalised intuitionistic fuzzy sets, internet.
  4. Parvathi R, Palaniappan.N, Some operations on intuitionistic fuzzy sets of second type. Notes on Intuitionistic Fuzzy sets, Vol.10, No.2 (2004), 1-19.
  5. Parvathi R, Palaniappan.N, Contrast intensification of second type generalised intuitionistic fuzzy sets, Notes on Intuitionistic Fuzzy sets, Vol.1 land 12 (2005).
  6. Philips Dwayne, Image Processing in C, 1995, BPB publications, New Delhi.
  7. Subburaj. R, Programming in C, 2000, Vikas publishing house ltd., New Delhi.
  8. www.cplusplus.com
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