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Partial differential equation based image edge enhancement and its application in measuring shaft

机译:基于局部微分方程的图像边缘增强及其在测量轴上的应用

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摘要

In this study, the conventional image edge detection methods for the geometric measurement are first introduced. The problems existing in actual detection, the principles of image denoising based on partial differential equation (PDE), and the local adaptability of nonlinear PDE deployed to complete image filtering, edge sharpening enhancement and edge extraction are then analyzed.. Finally, a linear geometric measurement method based on edge fitting is proposed and applied into the shaft parts measurement on the basis of a self-developed multi-parameter detection system. It was suggested in findings that the proposed measurement method is precise and effective in its detection of such parameters as shaft diameter and parallel degree.
机译:在该研究中,首先引入用于几何测量的传统图像边缘检测方法。实际检测中存在的问题,基于部分微分方程(PDE)的图像去噪原理,以及部署到完全图像滤波的非线性PDE的本地适应性,边缘锐化增强和边缘提取。最后,一个线性几何提出了基于边缘配件的测量方法,并基于自开发的多参数检测系统施加到轴部件测量中。在发现所提出的测量方法在其检测到轴直径和平行度的检测中,建议的结果表明了。

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