CONTRAST ENHANCEMENT OF FLAT EEG IMAGES VIA INTUITIONISTIC FUZZY APPROACH
DOI:
https://doi.org/10.51200/bsj.v40i2.4434Keywords:
Flat EEG, intuitionistic fuzzy set, hesitation degree, contrast enhancements, medical image processingAbstract
Image enhancement is an initial step in medical imaging before further processing. It is a process to improve the quality of an image which is affected by the presence of noise. Various approaches such as classical and fuzzy methods are used in the area of image processing to obtain the desired output. However, in this paper, an advanced fuzzy approach for contrast enhancement is used. The method is known as intuitionistic fuzzy set (IFS) and it is implemented on flat EEG (fEEG) input images during epileptic seizures. The output images are displayed with different values of parameter lambda, . Unsmooth output images occurred as increased.
References
Abdy, M. 2014. Fuzzy digital topological space and image of Flat Electroencephalography duringseizure. Ph.D. thesis, Universiti Teknologi Malaysia.
Acharya, T. & Ray, A.K. 2005. Image Processing Principles and Applications. New Jersey: JohnWiley & Sons. 209-225.
Atanassov, K.T. 1986. Intuitionistic Fuzzy Seys. Fuzzy Set Syst. 20: 87-96.
Chaira, T. 2012. Medical Image Enhancement using Intuitionistic Fuzzy Set in 1st Int. Conf. on RecentAdvances in Information Technology (RAIT-2012), IEEE. 54-57.
Vlachos, I.K & Sergiadis, G.D. 2007. Intuitionistic Fuzzy Image Processing in Soft Computing inImage Processing, edited by M. Nachtegael et al., London: Springer-Verlag BerlinHeidelberg. 383-414.
Zakaria, F. 2008. Dynamic Profiling of EEG Data during Seizure using Fuzzy Information. Ph.DThesis, Universiti Teknologi Malaysia.
Downloads
Published
Issue
Section
Total Views: 46
| 
Total Downloads: 72
