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Non-destructive Detection System for Micro-particle Contaminant on Super-smooth Optical Surface

机译:超光滑光学表面上微粒污染物的无损检测系统

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摘要

Regarding the demand of a high cleanness optical surface for an experimental prototype, a method of nondestructive detection of micro-particle contaminants is proposed. Aimed at the detection of cleanness, an improved, self-designed scanner image sampling of the particle contaminations on the optical surface was used. The hardware elements implemented with the algorithm of image processing to detect particle pollutant, based on the Canny's operator, in order to identify the edge of particle. The construction the local closed interval was done by calculating a convex hull with Graham algorithm, thus obtaining the image of particle contamination via the threshold segmentation. Identification of the particle contamination based on RVM (Relative Vector Machine) is demonstrated. The results from the relevant experiments in the super-cleanness circumstance confirmed the usefulness of this system.
机译:关于对用于实验原型的高清洁度光学表面的需求,提出了一种无损检测微粒污染物的方法。为了检测清洁度,使用了改进的,自行设计的扫描仪图像采样,用于采样光学表面上的颗粒污染物。基于Canny算子,使用图像处理算法实现的硬件元素来检测颗粒污染物,以识别颗粒边缘。通过使用Graham算法计算凸包来完成局部封闭区间的构建,从而通过阈值分割获得粒子污染的图像。演示了基于RVM(相对矢量机)的颗粒污染识别。在超净环境下的相关实验结果证实了该系统的实用性。

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