Contrast enhancement of flat EEG images via intuitionistic fuzzy approach

Suzelawati Zenian (2019) Contrast enhancement of flat EEG images via intuitionistic fuzzy approach. Borneo Science, 40. pp. 1-5. ISSN 1394-4339

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Abstract

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.

Item Type:	Article
Keyword:	Flat EEG , Intuitionistic fuzzy set , Hesitation degree , Contrast enhancements , Medical image processing
Subjects:	Q Science > QA Mathematics > QA1-939 Mathematics R Medicine > R Medicine (General) > R5-920 Medicine (General) > R856-857 Biomedical engineering. Electronics. Instrumentation
Department:	FACULTY > Faculty of Science and Natural Resources
Depositing User:	SITI AZIZAH BINTI IDRIS -
Date Deposited:	22 Sep 2021 08:54
Last Modified:	22 Sep 2021 08:54
URI:	https://eprints.ums.edu.my/id/eprint/30466

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