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fEEG contrast enhancement: power law transformation vs intuitionistic fuzzy set

This work focused on contrast enhancement of Flat Electroencephalography (fEEG) image by using Power Law Transformation (PLT) and Intuitionistic Fuzzy Set (IFS). PLT is a classical method whereas the IFS is an advanced fuzzy approach. The values of parameter in both methods are varied to obtain d...

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Main Authors: Zenian, Suzelawati, Ahmad, Tahir, Idris, Amidora
Format: Article
Published: Akademi Sains Malaysia 2020
Subjects:
Q Science (General)
Online Access:http://eprints.utm.my/id/eprint/91529/
https://www.akademisains.gov.my/asmsj/article/feeg-contrast-enhancement-power-law-transformation-vs-intuitionistic-fuzzy-set/
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id my.utm.91529
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spelling my.utm.915292021-06-30T12:17:39Z http://eprints.utm.my/id/eprint/91529/ fEEG contrast enhancement: power law transformation vs intuitionistic fuzzy set Zenian, Suzelawati Ahmad, Tahir Idris, Amidora Q Science (General) This work focused on contrast enhancement of Flat Electroencephalography (fEEG) image by using Power Law Transformation (PLT) and Intuitionistic Fuzzy Set (IFS). PLT is a classical method whereas the IFS is an advanced fuzzy approach. The values of parameter in both methods are varied to obtain different levels of enhancement. The results show that the IFS is more powerful in preserving the information of the cluster centresas the values of parameter increased. Akademi Sains Malaysia 2020-11 Article PeerReviewed Zenian, Suzelawati and Ahmad, Tahir and Idris, Amidora (2020) fEEG contrast enhancement: power law transformation vs intuitionistic fuzzy set. ASM SC Journal, 13 . pp. 1-5. ISSN 2682-8901 https://www.akademisains.gov.my/asmsj/article/feeg-contrast-enhancement-power-law-transformation-vs-intuitionistic-fuzzy-set/
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic Q Science (General)
spellingShingle Q Science (General)
Zenian, Suzelawati
Ahmad, Tahir
Idris, Amidora
fEEG contrast enhancement: power law transformation vs intuitionistic fuzzy set
description This work focused on contrast enhancement of Flat Electroencephalography (fEEG) image by using Power Law Transformation (PLT) and Intuitionistic Fuzzy Set (IFS). PLT is a classical method whereas the IFS is an advanced fuzzy approach. The values of parameter in both methods are varied to obtain different levels of enhancement. The results show that the IFS is more powerful in preserving the information of the cluster centresas the values of parameter increased.
format Article
author Zenian, Suzelawati
Ahmad, Tahir
Idris, Amidora
author_facet Zenian, Suzelawati
Ahmad, Tahir
Idris, Amidora
author_sort Zenian, Suzelawati
title fEEG contrast enhancement: power law transformation vs intuitionistic fuzzy set
title_short fEEG contrast enhancement: power law transformation vs intuitionistic fuzzy set
title_full fEEG contrast enhancement: power law transformation vs intuitionistic fuzzy set
title_fullStr fEEG contrast enhancement: power law transformation vs intuitionistic fuzzy set
title_full_unstemmed fEEG contrast enhancement: power law transformation vs intuitionistic fuzzy set
title_sort feeg contrast enhancement: power law transformation vs intuitionistic fuzzy set
publisher Akademi Sains Malaysia
publishDate 2020
url http://eprints.utm.my/id/eprint/91529/
https://www.akademisains.gov.my/asmsj/article/feeg-contrast-enhancement-power-law-transformation-vs-intuitionistic-fuzzy-set/
_version_ 1705056726771826688
score 13.250246

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