Publication: การจำแนกฟันจากภาพเอกซเรย์โดยวิธีการเข้าคู่รูปแบบ
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Issued Date
2015
Resource Type
Language
tha
File Type
application/pdf
Access Rights
open access
Rights
ผลงานนี้เผยแพร่ภายใต้ สัญญาอนุญาตครีเอทีฟคอมมอนส์แบบ แสดงที่มา-ไม่ใช้เพื่อการค้า-ไม่ดัดแปลง 4.0 (CC BY-NC-ND 4.0)
Rights Holder(s)
มหาวิทยาลัยศรีนครินทรวิโรฒ
Suggested Citation
อริสา พูนศรี (2015). การจำแนกฟันจากภาพเอกซเรย์โดยวิธีการเข้าคู่รูปแบบ. สืบค้นจาก: https://hdl.handle.net/20.500.14740/11982
Alternative Title(s)
Teeth segmentation from dental X-ray image by template matching
Author(s)
Advisor(s)
Organization
Abstract
This engineering project proposed a new method to segment a teeth from panoramic dental x-ray. Presently, dental information is widely used in many application because teeth features are distinguishable. So we make it useful by improving the program to segment a teeth from dental x-ray that will create more choices to get the primary screening before diagnosis by the expert. This research proposed a new method to segment a teeth from panoramic dental x-ray. It has 3 main sections including: Specify teeth area, Matching and Segmentation. Specify teeth area has 2 processes: 1. Converted to binary image using Otsu’s Threshold and 2. Define teeth area using Mahalanobis Distance. Matching step also has 2 processes: 1. Image Enhancement using Adaptive threshold and 2. Template Matching using Correlations. In the result shows performance of suitable templates using in Template Matching, get 4 sizes with mean accuracy is 60.75 % for single root and 60.83 % for double roots. The last section is Segmentation has 3 processes: 1. Plotted boxes merging, 2. K-mean Clustering and 3.Separating individual tooth. In the result shows performance of 4 boxes 3 boxes 2 boxes merging and 1 box from matching. An accuracy of this step has 48.91 per cent for double roots and 58.31% for single root so, we choose first 5detected teeth for single-rooted teeth and first 3detected teeth for double-rooted teeth and this step also uses detected area for declined template matching next step. Accuracy of declined template matching has 60.65% for single-rooted and 61.18% for double-rooted in approximately the results quite good for this project.