{"title":"基于牙齿形态和外观的牙齿图像比较","authors":"Y. S. Younis, Israa Mohammed Khudher","doi":"10.1109/ICAIoT57170.2022.10121851","DOIUrl":null,"url":null,"abstract":"Computers are used in dentistry to recognize teeth, cavities, filled teeth, crowns, dental therapy, and digital smile design (DSD). use the intelligent algorithm K-Mean with Euclidean distance in two stages of the stage classification process. The first was to determine the type of tooth based on its location and size in order to select the central incisor teeth to the next classification process, through which the tooth type was determined based on the lower angles of the tooth This study classified teeth based on their incisal surfaces. Rounds, squares, squares/rounds. LORIN showed tooth outlines. In this investigation, we used extracted denture central incisors. Savitzky-Golay-Filter and morphology processes followed. Central incisor test showed the most consistent results after removing 75% or 66% of the tooth’s crown, with a detection accuracy of 85.7%. Dentures were classified using dentists’ input (dentists). the study validated the detection’s reliability.","PeriodicalId":297735,"journal":{"name":"2022 International Conference on Artificial Intelligence of Things (ICAIoT)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comparison of Dental Images Based on Morphology and Appearance of Teeth\",\"authors\":\"Y. S. Younis, Israa Mohammed Khudher\",\"doi\":\"10.1109/ICAIoT57170.2022.10121851\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Computers are used in dentistry to recognize teeth, cavities, filled teeth, crowns, dental therapy, and digital smile design (DSD). use the intelligent algorithm K-Mean with Euclidean distance in two stages of the stage classification process. The first was to determine the type of tooth based on its location and size in order to select the central incisor teeth to the next classification process, through which the tooth type was determined based on the lower angles of the tooth This study classified teeth based on their incisal surfaces. Rounds, squares, squares/rounds. LORIN showed tooth outlines. In this investigation, we used extracted denture central incisors. Savitzky-Golay-Filter and morphology processes followed. Central incisor test showed the most consistent results after removing 75% or 66% of the tooth’s crown, with a detection accuracy of 85.7%. Dentures were classified using dentists’ input (dentists). the study validated the detection’s reliability.\",\"PeriodicalId\":297735,\"journal\":{\"name\":\"2022 International Conference on Artificial Intelligence of Things (ICAIoT)\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Conference on Artificial Intelligence of Things (ICAIoT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAIoT57170.2022.10121851\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Artificial Intelligence of Things (ICAIoT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAIoT57170.2022.10121851","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comparison of Dental Images Based on Morphology and Appearance of Teeth
Computers are used in dentistry to recognize teeth, cavities, filled teeth, crowns, dental therapy, and digital smile design (DSD). use the intelligent algorithm K-Mean with Euclidean distance in two stages of the stage classification process. The first was to determine the type of tooth based on its location and size in order to select the central incisor teeth to the next classification process, through which the tooth type was determined based on the lower angles of the tooth This study classified teeth based on their incisal surfaces. Rounds, squares, squares/rounds. LORIN showed tooth outlines. In this investigation, we used extracted denture central incisors. Savitzky-Golay-Filter and morphology processes followed. Central incisor test showed the most consistent results after removing 75% or 66% of the tooth’s crown, with a detection accuracy of 85.7%. Dentures were classified using dentists’ input (dentists). the study validated the detection’s reliability.