Evaluation of facial tissue characteristics by utilising vibration signals using thermal imaging
Yazarlar (5)
Öğr. Gör. Yakup İRİM Sinop Üniversitesi, Türkiye
Doç. Dr. Hamza Feza Carlak Akdeniz Üniversitesi, Türkiye
Dr. Öğr. Üyesi Mehmet Ümit Ak Akdeniz Üniversitesi, Türkiye
Prof. Dr. Süleyman Bilgin Akdeniz Üniversitesi, Türkiye
Doç. Dr. Okan Oral Akdeniz Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Iet Science Measurement and Technology (Q2) | ||
| Dergi ISSN | 1751-8822 Dergi Bilgileri (2020) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | Türkçe | Basım Tarihi | 01-2020 |
| Cilt / Sayı / Sayfa | 14 / 10 / 997–1002 | DOI | 10.1049/iet-smt.2020.0232 |
| Makale Linki | http://dx.doi.org/10.1049/iet-smt.2020.0232 | ||
| UAK Araştırma Alanları |
Biyomedikal
Görüntü İşleme
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| Özet |
| Using the vibration signals, the facial tissue characteristics may be utilised for the detection of nasal diseases. In this study, the tissue characteristics were specified by applying constant frequency vibration signals to the facial tissue. The temperature changes caused by an external vibration source applied to the human face were investigated using thermal imaging techniques. Vibrations were applied to the forehead, right cheek, and left cheek regions of the facial tissue. Temperature differences were examined using dynamic and static analyses. Temperature increases of 500, 562, and 606 m°C were acquired in the F region, MR, and ML regions, respectively. While the F region has the lowest soft tissue thickness and temperature difference, the ML region has the highest values. The temperature difference between ML and F regions was acquired as 106 m°C. The temperature distributions of the facial area indicate … |
| Anahtar Kelimeler |
| temperature distribution | biological tissues | face recognition | infrared imaging | vibrations | medical image processing | diseases | facial tissue characteristics | face region | constant frequency vibration signals | temperature difference | temperature changes | external vibration source | thermal imaging techniques | cheek regions | dynamic analysis study | F region | ML region | soft tissue thickness | temperature alteration | temperature distribution | facial area | MR regions | heating response cu |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 1 |
| Scopus | 1 |
| Google Scholar | 1 |