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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Akademi Sains Malaysia
2020
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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/ |
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Q Science (General) |
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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 |
13.251813 |