Classification of Lateral Incisor Teeth for Aesthetic Dentistry Using Intelligent Techniques | ||
| Journal of Education and Science | ||
| Article 10, Volume 32, Issue 1, March 2023, Pages 91-108 PDF (1000.5 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.33899/edusj.2023.137076.1296 | ||
| Authors | ||
| Younis Samir Younis* 1; Israa Mohammed Khudher Alhamdani2 | ||
| 1Department of Computer Science, College of Computer Science and Mathematics, University of Mosul, Mosul, Iraq | ||
| 2Department of Computer Science, Education College of Pure Sciences, University of Mosul, Mosul, Iraq | ||
| Abstract | ||
| The six upper front teeth determine the appearance of Aesthetic dentistry. The study will define lateral incisors based on their lower angles as round, square, or square/round. LORIN molds to shape teeth were utilized. It extracted 144 teeth images from him and used 36 photographs of denture lateral incisors. The aim of the proposed work is to develop a model capable of determining the most likely form the teeth will take. Intelligent systems first distinguish denture picture edges and separate gums from teeth. After early processing teeth were extracted. and use morphological methods performed to remove the hump, and The Savitzky-Golay filter then softens the corners. Images were tested to determine their type. Fuzzy logic determines the filter's mask size by finding the most matching teeth. we were cropped 50%, 66%, and 75% of the teeth and compared the rest lower parts of the teeth. Then, each type of tooth is matched using Pearson's correlation coefficient and LORIN-certified dental molds. When evaluating pictures of lateral incisor teeth, researchers found 36.1% accuracy when using the entire tooth, and 66.1% accuracy when cropping 75% of the tooth. The best match and discrimination of the lateral incisor were at cropping 50% and 66%, his accuracy was 86.1%. This study's results were compared to previous research on this subject, demonstrating their reliability and precision. | ||
| Keywords | ||
| digital smile design,,; ,،,؛Convolutional Neural Network,,; ,،,؛Savitzky-Golay filter,,; ,،,؛LORIN dataset.,,; ,،,؛Fully Convolutional Network | ||
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