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Three-dimensional reconstruction of wear particle surface based on photometric stereo

机译:基于光度立体声的磨损颗粒表面的三维重建

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摘要

Ferrography has emerged as a significant candidate for the provision of relevant information for the determination of the status of machine wear. However, this conventional methodology provides only marginal results due to its inability to provide 3-dimensinal (3D) surface information. The authors of this paper have developed a methodology based on photometric-stereo towards the enhancement of the capabilities of ferrography. This enhanced and innovative methodology consists of three main components, the multi-illumination image acquisition, the wear particle extraction, and the 3D surface reconstruction. The methodology ensures the reliable and efficient extraction of the wear particles surface topographies for further feature-based wear particle identification. The performance of this methodology has been compared with results observed from the laser scanning confocal microscopy. The outcome of this comparison has depicted that the methodology involving this new low-cost ferrography system exhibits very high accuracy for the 3D surface feature extraction of wear particles. (C) 2018 Elsevier Ltd. All rights reserved.
机译:传染铁已成为提供有关确定机器磨损现状的相关信息的重要候选人。然而,这种传统方法仅提供了由于其无法提供三维(3D)表面信息而产生的边际结果。本文的作者基于光度立体声朝着增强铁的能力而开发了一种方法。这种增强和创新的方法包括三个主要组件,多照明图像采集,磨损粒子提取和3D表面重建。该方法确保了用于进一步特征的磨损粒子识别的耐磨颗粒表面地形的可靠和有效的提取。将该方法的性能与从激光扫描共聚焦显微镜观察到的结果进行了比较。该比较的结果表明,涉及这种新的低成本铁制系统的方法表现出磨损颗粒的3D表面特征提取的非常高的精度。 (c)2018年elestvier有限公司保留所有权利。

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