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http://dx.doi.org/10.3807/COPP.2017.1.6.587

Nonlinear Diffusion and Structure Tensor Based Segmentation of Valid Measurement Region from Interference Fringe Patterns on Gear Systems  

Wang, Xian (State Key Laboratory of Manufacturing Systems Engineering, Xi'an Jiaotong University)
Fang, Suping (State Key Laboratory of Manufacturing Systems Engineering, Xi'an Jiaotong University)
Zhu, Xindong (State Key Laboratory of Manufacturing Systems Engineering, Xi'an Jiaotong University)
Ji, Jing (State Key Laboratory of Manufacturing Systems Engineering, Xi'an Jiaotong University)
Yang, Pengcheng (College of Mechanical & Electrical Engineering, Xi'an Polytechnic University)
Komori, Masaharu (Department of Precision Engineering, Kyoto University)
Kubo, Aizoh (Department of Precision Engineering, Kyoto University)
Publication Information
Current Optics and Photonics / v.1, no.6, 2017 , pp. 587-597 More about this Journal
Abstract
The extraction of the valid measurement region from the interference fringe pattern is a significant step when measuring gear tooth flank form deviation with grazing incidence interferometry, which will affect the measurement accuracy. In order to overcome the drawback of the conventionally used method in which the object image pattern must be captured, an improved segmentation approach is proposed in this paper. The interference fringe patterns feature, which is smoothed by the nonlinear diffusion, would be extracted by the structure tensor first. And then they are incorporated into the vector-valued Chan-Vese model to extract the valid measurement region. This method is verified in a variety of interference fringe patterns, and the segmentation results show its feasibility and accuracy.
Keywords
Segmentation method; Interference fringe patterns; Nonlinear structure tensor;
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