Alin Kirişikliklarinin Otomatik Derecelendirilmesi

Busra Canak; Mustafa E. Kamasak

doi:10.1109/SIU.2017.7960234

Alin Kirişikliklarinin Otomatik Derecelendirilmesi

Busra Canak^*, Mustafa E. Kamasak

^*Bu çalışma için yazışmadan sorumlu yazar

Bilgisayar Mühendisliği Bölümü

Istanbul Technical University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

1 Atıf (Scopus)

Özet

Scoring facial wrinkles is a crucial process to specify exact treatment for wrinkles or to understand the effectiveness of the applied treatment to wrinkles. In this study, only forehead wrinkles are examined instead of the whole facial wrinkles. Detection and quantification of the forehead wrinkles are tried to be performed automatically by computers. For this purpose, the features are extracted using local binary pattern and Gabor filter which is based on connected component analysis. Facial images are labeled by educated volunteers according to their observation of wrinkle. By applying these two methods to labeled images, LBP achieved 64.5% accuracy whereas Gabor filter based on connected component analysis achieved 79.7% accuracy.

Tercüme edilen katkı başlığı	Automatic scoring of wrinkles on the forehead
Orijinal dil	Türkçe
Ana bilgisayar yayını başlığı	2017 25th Signal Processing and Communications Applications Conference, SIU 2017
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)	9781509064946
DOI'lar	https://doi.org/10.1109/SIU.2017.7960234
Yayın durumu	Yayınlandı - 27 Haz 2017
Etkinlik	25th Signal Processing and Communications Applications Conference, SIU 2017 - Antalya, Turkey Süre: 15 May 2017 → 18 May 2017

Yayın serisi

Adı	2017 25th Signal Processing and Communications Applications Conference, SIU 2017

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	25th Signal Processing and Communications Applications Conference, SIU 2017
Ülke/Bölge	Turkey
Şehir	Antalya
Periyot	15/05/17 → 18/05/17

Bibliyografik not

Publisher Copyright:
© 2017 IEEE.

Keywords

dermatology
wrinkle detection
wrinkle scoring

Belgeye Erişim

10.1109/SIU.2017.7960234

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

@inproceedings{fcd18177eb6a4902958664de3ae39684,

title = "Alin Kiri{\c s}ikliklarinin Otomatik Derecelendirilmesi",

abstract = "Scoring facial wrinkles is a crucial process to specify exact treatment for wrinkles or to understand the effectiveness of the applied treatment to wrinkles. In this study, only forehead wrinkles are examined instead of the whole facial wrinkles. Detection and quantification of the forehead wrinkles are tried to be performed automatically by computers. For this purpose, the features are extracted using local binary pattern and Gabor filter which is based on connected component analysis. Facial images are labeled by educated volunteers according to their observation of wrinkle. By applying these two methods to labeled images, LBP achieved 64.5% accuracy whereas Gabor filter based on connected component analysis achieved 79.7% accuracy.",

keywords = "dermatology, wrinkle detection, wrinkle scoring",

author = "Busra Canak and Kamasak, {Mustafa E.}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 25th Signal Processing and Communications Applications Conference, SIU 2017 ; Conference date: 15-05-2017 Through 18-05-2017",

year = "2017",

month = jun,

day = "27",

doi = "10.1109/SIU.2017.7960234",

language = "T{\"u}rk{\c c}e",

series = "2017 25th Signal Processing and Communications Applications Conference, SIU 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2017 25th Signal Processing and Communications Applications Conference, SIU 2017",

address = "United States",

}

Canak, B & Kamasak, ME 2017, Alin Kirişikliklarinin Otomatik Derecelendirilmesi. in 2017 25th Signal Processing and Communications Applications Conference, SIU 2017., 7960234, 2017 25th Signal Processing and Communications Applications Conference, SIU 2017, Institute of Electrical and Electronics Engineers Inc., 25th Signal Processing and Communications Applications Conference, SIU 2017, Antalya, Turkey, 15/05/17. https://doi.org/10.1109/SIU.2017.7960234

Alin Kirişikliklarinin Otomatik Derecelendirilmesi. / Canak, Busra; Kamasak, Mustafa E.
2017 25th Signal Processing and Communications Applications Conference, SIU 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 7960234 (2017 25th Signal Processing and Communications Applications Conference, SIU 2017).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Alin Kirişikliklarinin Otomatik Derecelendirilmesi

AU - Canak, Busra

AU - Kamasak, Mustafa E.

PY - 2017/6/27

Y1 - 2017/6/27

N2 - Scoring facial wrinkles is a crucial process to specify exact treatment for wrinkles or to understand the effectiveness of the applied treatment to wrinkles. In this study, only forehead wrinkles are examined instead of the whole facial wrinkles. Detection and quantification of the forehead wrinkles are tried to be performed automatically by computers. For this purpose, the features are extracted using local binary pattern and Gabor filter which is based on connected component analysis. Facial images are labeled by educated volunteers according to their observation of wrinkle. By applying these two methods to labeled images, LBP achieved 64.5% accuracy whereas Gabor filter based on connected component analysis achieved 79.7% accuracy.

AB - Scoring facial wrinkles is a crucial process to specify exact treatment for wrinkles or to understand the effectiveness of the applied treatment to wrinkles. In this study, only forehead wrinkles are examined instead of the whole facial wrinkles. Detection and quantification of the forehead wrinkles are tried to be performed automatically by computers. For this purpose, the features are extracted using local binary pattern and Gabor filter which is based on connected component analysis. Facial images are labeled by educated volunteers according to their observation of wrinkle. By applying these two methods to labeled images, LBP achieved 64.5% accuracy whereas Gabor filter based on connected component analysis achieved 79.7% accuracy.

KW - dermatology

KW - wrinkle detection

KW - wrinkle scoring

UR - http://www.scopus.com/inward/record.url?scp=85026307791&partnerID=8YFLogxK

U2 - 10.1109/SIU.2017.7960234

DO - 10.1109/SIU.2017.7960234

M3 - Konferans katkısı

AN - SCOPUS:85026307791

T3 - 2017 25th Signal Processing and Communications Applications Conference, SIU 2017

BT - 2017 25th Signal Processing and Communications Applications Conference, SIU 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 25th Signal Processing and Communications Applications Conference, SIU 2017

Y2 - 15 May 2017 through 18 May 2017

ER -

Alin Kirişikliklarinin Otomatik Derecelendirilmesi

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Keywords

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap