Publication:
Teeth Detection for Panoramic Dental X-Ray Image by Rotated Tooth Template for Telemedicine Technology

dc.contributor.authorSirinart N.
dc.contributor.authorPaton W.
dc.contributor.authorWareethip P.
dc.contributor.authorCharoenpong T.
dc.contributor.otherSrinakharinwirot University
dc.date.accessioned2023-11-15T02:08:43Z
dc.date.available2023-11-15T02:08:43Z
dc.date.issued2023
dc.date.issuedBE2566
dc.description.abstractTelemedicine 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.format.mimetypeapplication/pdf
dc.identifier.citation2023 3rd International Symposium on Instrumentation, Control, Artificial Intelligence, and Robotics, ICA-SYMP 2023. Vol , No. (2023), p.73-76
dc.identifier.doi10.1109/ICA-SYMP56348.2023.10044935
dc.identifier.urihttps://hdl.handle.net/20.500.14740/10730
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.rights.holderScopus
dc.subject.otherNormalized Cross-Correlation
dc.subject.otherPanoramic x-ray
dc.subject.otherTeeth detection
dc.subject.otherTemplate matching
dc.titleTeeth Detection for Panoramic Dental X-Ray Image by Rotated Tooth Template for Telemedicine Technology
dc.typeConference Paper
dspace.entity.typePublication
swu.datasource.scopushttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85149659116&doi=10.1109%2fICA-SYMP56348.2023.10044935&partnerID=40&md5=f248d3b4e1ff7592cb01c2144496435d

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