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An Edge Detection Scheme for Endodontic Working Length Measurement in Root Canal Treatment for Succedaneous Teeth

机译:脊柱管治疗脊柱牙齿工作长度测量的边缘检测方案

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The process of edge detection is useful in processing the dental x-ray images, specifically in determining the root morphology and the length to which the root has extended, for the purpose of providing root canal treatment. Generally, a manual analysis of an expert is made to determine these two features. However, the human analysis has two disadvantages: intra subject variability and inter subject variability in analyzing the features. Therefore, we propose an algorithm: Multi-scale and Multi Directional Analysis based Edge Detection with Statistical Thresholding (MMST), to determine these two features and were quite successful in their extraction. The results of the proposed algorithm are compared in terms of both qualitative and quantitative analysis with Canny method and are found to be doing appreciably well. The dental images used in this paper are taken from the database of the patients of Vishnu Dental College, Bhimavaram.
机译:为了提供根管治疗,边缘检测的过程在处理牙科X射线图像时可用于处理牙科X射线图像。通常,进行专家的手动分析以确定这两个特征。然而,人类分析有两个缺点:内部课程变异性和分析特征的间可变异性。因此,我们提出了一种算法:基于多尺度和多向定向分析的边缘检测,具有统计阈值(MMST),以确定这两个特征,并且在其提取中非常成功。根据贲门法的定性和定量分析,比较了所提出的算法的结果,并发现良好的良好。本文中使用的牙科图像是从Vishnu牙科学院,Bhimavaram患者的数据库中获取。

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