Fuzzy contrast enhancement by intensification operator in Flat Electroencephalography image

Suzelawati Zenian and Tahir Ahmad and Amidora Idris (2019) Fuzzy contrast enhancement by intensification operator in Flat Electroencephalography image. Transactions on Science and Technology, 6 (2-2). pp. 216-220.

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Abstract

Contrast enhancement plays a major role in image processing. It is applied to improve the visibility or perceptibility of objects by enhancing the brightness difference between objects and their backgrounds. In this paper, the contrast of Flat Electroencephalography (fEEG) image is enhanced by using fuzzy approach. The fEEG image itself is a fuzzy object which is in grayscale. It is originated from a technique known as fEEG which mapped high dimensional signal into low dimensional space. Contrast improvement of fEEG image is done by using Intensification Operator (INT) and New Intensification Operator (NINT). Moreover, the output images are compared for both operators.

Item Type:	Article
Keyword:	fEEG image, Fuzzy contrast enhancement, Intensification operator
Subjects:	Q Science > Q Science (General) > Q1-390 Science (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1-9971 Electrical engineering. Electronics. Nuclear engineering > TK7800-8360 Electronics > TK7885-7895 Computer engineering. Computer hardware
Department:	FACULTY > Faculty of Science and Natural Resources
Depositing User:	SITI AZIZAH BINTI IDRIS -
Date Deposited:	05 Sep 2024 10:44
Last Modified:	05 Sep 2024 10:44
URI:	https://eprints.ums.edu.my/id/eprint/41004

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