Identification of Molar and Premolar Teeth in Dental Panoramic Radiograph Image
Rahmat, Romi Fadillah
Nababan, Erna Budhiarti
Sitompul, Opim Salim
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Human has their limitation of recognizing the detail of an object and requires longer time to identify it, especially for identifying the teeth which is usually done by forensic dentist. Therefore, a method is required for tooth identification in dental panoramic radiograph image. In this research, we use multilayer perceptron with Levenberg-Marquardt backpropagation training algorithm, to identify molar and premolar teeth based on the region property of isolated teeth generated from the integral projections. Several image processing techniques are also implemented to overcome the low contrast of the dental panoramic radiograph image. The experimental results show that our proposed method can help the forensic dentist to identify the molar and premolar teeth and give 98.2143% of accuracy while testing 10 dental panoramic radiograph images (consist of 56 teeth) with 20 images (consist of 152 teeth) for training data.