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

机译:使用牙科数字射线照相识别搪瓷龋齿和焦岩龋的算法

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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是在放射学薄膜的帮助下进行的。由于噪声和其他环境干扰,使用射线照相膜引入了错误。本文介绍了一种使用数字扰动放射图像检测搪瓷龋和焦岩龋的算法。这将有助于牙科从业人员轻松地识别龋病病变。本研究利用MATLAB,它在三个阶段执行龋病检测。第一阶段是预处理阶段,如有必要,执行图像的旋转。进行了对图像的直方图研究,以了解携带的强度。第二阶段是分离单个齿面积的图像分割。第三阶段是检测到龋齿的识别阶段。如果没有检测到龋齿,牙齿绝对是健康的。

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