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DC Field | Value | Language |
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dc.contributor.author | Sirinart N. | |
dc.contributor.author | Paton W. | |
dc.contributor.author | Wareethip P. | |
dc.contributor.author | Charoenpong T. | |
dc.contributor.other | Srinakharinwirot University | |
dc.date.accessioned | 2023-11-15T02:08:43Z | - |
dc.date.available | 2023-11-15T02:08:43Z | - |
dc.date.issued | 2023 | |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149659116&doi=10.1109%2fICA-SYMP56348.2023.10044935&partnerID=40&md5=f248d3b4e1ff7592cb01c2144496435d | |
dc.identifier.uri | https://ir.swu.ac.th/jspui/handle/123456789/29486 | - |
dc.description.abstract | Telemedicine technology is important for rural area or underdeveloped countries. Panoramic dental x-ray image is used to diagnosis impacted tooth. A process to diagnosis impacted tooth is teeth detection. In this paper, we proposed a method for teeth detection by rotated tooth template. This method consisted of template preparation and image correlation computation step. Template of teeth is varied in the range of 0-360 degrees for detection impacted tooth. Correlation ratio between template and test image is computed. Correlation ratio over threshold is defined as teeth. To test the performance of the method, fifty images are used. Based on the results, both normal tooth and impacted tooth can be detected. This method prove that the rotated tooth template has potential to detection impacted tooth. © 2023 IEEE. | |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
dc.subject | Normalized Cross-Correlation | |
dc.subject | Panoramic x-ray | |
dc.subject | Teeth detection | |
dc.subject | Template matching | |
dc.title | Teeth Detection for Panoramic Dental X-Ray Image by Rotated Tooth Template for Telemedicine Technology | |
dc.type | Conference paper | |
dc.rights.holder | Scopus | |
dc.identifier.bibliograpycitation | 2023 3rd International Symposium on Instrumentation, Control, Artificial Intelligence, and Robotics, ICA-SYMP 2023. Vol , No. (2023), p.73-76 | |
dc.identifier.doi | 10.1109/ICA-SYMP56348.2023.10044935 | |
Appears in Collections: | Scopus 2023 |
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