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Algorithm to Identify Enamel Caries and Interproximal Caries Using Dental Digital Radiographs

机译:牙科数字射线照相识别牙釉质龋和近端龋的算法

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Diagnosis of dental diseases is conventionally carried out with the help of radiographic films. As a result of noise and other environmental interferences, use of radiographic films introduces errors. This paper presents an algorithm to use digital periapical radiographic images to detect enamel caries and interproximal caries. This will help dental practitioners to identify caries lesion with ease. This study makes use of MATLAB and it performs caries detection in three stages. First stage is the preprocessing phase where rotation of an image is performed, if necessary. Histogram study of the image is carried out to understand the intensity of carries. The second phase is image segmentation where individual tooth area is separated. Third phase is the identification phase where caries are detected. If caries are not detected, tooth is definitely healthy.
机译:牙科疾病的诊断通常在射线照相胶片的帮助下进行。由于噪声和其他环境干扰,射线照相胶片的使用会引入错误。本文提出了一种使用数字根尖射线照相图像来检测牙釉质龋和近端龋的算法。这将帮助牙科医生轻松地识别龋齿病变。本研究利用MATLAB并在三个阶段执行龋齿检测。第一阶段是预处理阶段,如有必要,将执行图像旋转。进行图像的直方图研究以了解携带的强度。第二阶段是图像分割,其中各个牙齿区域分开。第三阶段是识别阶段,其中检测到龋齿。如果未检测到龋齿,则牙齿绝对健康。

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