Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/6176
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Avsar, Murat | - |
dc.contributor.author | Yetik, İmam Şamil | - |
dc.date.accessioned | 2021-09-11T15:35:11Z | - |
dc.date.available | 2021-09-11T15:35:11Z | - |
dc.date.issued | 2021 | en_US |
dc.identifier.issn | 1300-0632 | - |
dc.identifier.issn | 1303-6203 | - |
dc.identifier.uri | https://search.trdizin.gov.tr/yayin/detay/514189 | - |
dc.identifier.uri | https://doi.org/10.3906/elk-1909-111 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.11851/6176 | - |
dc.description.abstract | Removal of hair using laser is a widely used method, where our goal is to permanently remove hair by using laser to cause heat in order to thermally damage the hair follicle. However, currently available laser hair removal systems affect the outer skin layers besides hair follicles. This is a disadvantage of classical methods with major health risks. We propose a method to overcome these health risks by guiding the laser beam only to automatically localized hair regions. This study aims to develop an automated feature-based hair region localization method as an integral part of the proposed hair removal system utilizing laser, a first attempt in this area. The quantitative analysis and visual evaluation of the results obtained with the proposed technique shows that it is possible to automatically localize hair regions for guided laser hair removal. We believe this study, a first in this area, will open the way to researchers interested to attack this problem. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Tubitak Scientific & Technical Research Council Turkey | en_US |
dc.relation.ispartof | Turkish Journal of Electrical Engineering And Computer Sciences | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Automated hair localization | en_US |
dc.subject | guided laser epilation | en_US |
dc.subject | image processing | en_US |
dc.title | A Two-Stage Hair Region Localization Method for Guided Laser Hair Removal | en_US |
dc.type | Article | en_US |
dc.department | Faculties, Faculty of Engineering, Department of Electrical and Electronics Engineering | en_US |
dc.department | Fakülteler, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü | tr_TR |
dc.identifier.volume | 29 | en_US |
dc.identifier.issue | 1 | en_US |
dc.identifier.startpage | 470 | en_US |
dc.identifier.endpage | 480 | en_US |
dc.authorid | 0000-0002-7330-4692 | - |
dc.identifier.wos | WOS:000614434700010 | en_US |
dc.identifier.scopus | 2-s2.0-85100990834 | en_US |
dc.institutionauthor | Yetik, Imam Şamil | - |
dc.identifier.doi | 10.3906/elk-1909-111 | - |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.identifier.scopusquality | Q3 | - |
dc.identifier.trdizinid | 514189 | en_US |
item.openairetype | Article | - |
item.languageiso639-1 | en | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
crisitem.author.dept | 02.5. Department of Electrical and Electronics Engineering | - |
Appears in Collections: | Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection TR Dizin İndeksli Yayınlar / TR Dizin Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
CORE Recommender
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.