Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/6798
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Avşar, Murat | - |
dc.contributor.author | Yetik, İmam Şamil | - |
dc.date.accessioned | 2021-09-11T15:43:37Z | - |
dc.date.available | 2021-09-11T15:43:37Z | - |
dc.date.issued | 2015 | en_US |
dc.identifier.citation | IEEE 12th International Symposium on Biomedical Imaging -- APR 16-19, 2015 -- New York, NY | en_US |
dc.identifier.isbn | 978-1-4799-2374-8 | - |
dc.identifier.issn | 1945-7928 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.11851/6798 | - |
dc.description.abstract | Laser hair removal is a popular nonsurgical aesthetic operation, where the aim is to remove unwanted hair permanently by damaging the hair follicle and shaft thermally. However, laser affects the superficial skin layers in addition to hair follicles causing health risks. Side effects of laser-assisted hair removal can be minimized by directing the laser beam only to the detected hair regions. This study proposes a feature-based hair region localization method using machine learning techniques, a first in this area. Features with low computational complexity have been proposed in order to discriminate hair and skin regions. Hair and skin region classification performances of different machine learning techniques have been applied and compared. Quantitative and visual results obtained from the proposed technique showed success in the detection of hair and skin regions. We concluded that the proposed method can be used in real-time guided laser hair removal devices. | en_US |
dc.description.sponsorship | NIBIB, NATL INST, IEEE, EMB | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.relation.ispartof | 2015 IEEE 12Th International Symposium On Biomedical Imaging (Isbi) | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Hair region detection | en_US |
dc.subject | laser hair removal | en_US |
dc.subject | machine learning | en_US |
dc.subject | guided laser hair removal device | en_US |
dc.title | Hair Region Localization With Optical Imaging for Guided Laser Hair Removal | en_US |
dc.type | Conference Object | en_US |
dc.relation.ispartofseries | IEEE International Symposium on Biomedical Imaging | 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.startpage | 1411 | en_US |
dc.identifier.endpage | 1414 | en_US |
dc.authorid | 0000-0002-7330-4692 | - |
dc.identifier.wos | WOS:000380546000339 | en_US |
dc.identifier.scopus | 2-s2.0-84944328138 | en_US |
dc.institutionauthor | Yetik, Imam Şamil | - |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.relation.conference | IEEE 12th International Symposium on Biomedical Imaging | en_US |
dc.identifier.scopusquality | - | - |
item.openairetype | Conference Object | - |
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 WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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