Scopus
YÖKSİS DOI Eşleşti
SJR Q1
The determination of age and gender by implementing new image processing methods and measurements to dental X-ray images
Measurement Journal of the International Measurement Confederation · Ocak 2020
YÖKSİS Kayıtları
The determination of age and gender by implementing new image processing methods and measurements to dental X-ray images
Measurement · 2020 SCI-Expanded
Prof. Dr. FATİH BAŞÇİFTÇİ →
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The determination of age and gender by implementing new image processing methods and measurements to dental X-ray images
2020 ISSN: 0263-2241 SCI-Expanded
Prof. Dr. FATİH BAŞÇİFTÇİ →
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Makale Bilgileri
ISSN02632241
Yayın TarihiOcak 2020
Cilt / Sayfa149
Scopus ID2-s2.0-85071869962
Özet
All of the features used to identify and distinguish people from others constitute that person's identity. For any reason, a person's identity may need to be identified and distinguished from other people. Authorities provided the credentials of a living or dead person in such cases from the forensic institutions. The identification process must be done correctly. In this study, specific measurement calculations were made on dental x-ray images to determine age and gender. Age and gender information of the persons were systematically determined by working with panoramic dental x-ray images. Panoramic dental x-ray images were taken out of bounds, and a total of 1315 tooth images and 162 different tooth groups were used. These images have been subjected to 3 different preprocess operations. Each preprocessed image is recorded in different (M1, M2, M3) folders. Then, image processing techniques applied for the first time to the tooth images (Area, Perimeter, Center of gravity, Similarity ratio, Radius calculation) were applied. This information of the teeth is also kept in separate XML (XMLlist-1, 2, 3) files. The application was developed in C # programming language. The user loads the tooth image into the application. This image can be predicted by comparing it with the comparison group (area, etc.) after the desired preprocessing. The highest estimated age and gender estimates are 100% and 95%, respectively.
Yazarlar (2)
1
Emre Avuçlu
2
Fatih Başçiftçi
Anahtar Kelimeler
Age and gender estimation from teeth
Image processing techniques
Morphological measurements
Panoramic radyografi
Kurumlar
Aksaray Üniversitesi
Aksaray Turkey
Selçuk Üniversitesi
Selçuklu Turkey
Scimago Dergi (ISSN Eşleşmesi)
Measurement: Journal of the International Measurement Confederation
Q1
SJR Skoru1,244
H-Index146
YayıncıElsevier B.V.
ÜlkeNetherlands
Applied Mathematics (Q1)
Condensed Matter Physics (Q1)
Education (Q1)
Electrical and Electronic Engineering (Q1)
Instrumentation (Q1)
Statistics and Probability (Q1)
Metrikler
17
Atıf
2
Yazar
4
Anahtar Kelime