论文标题
改进的污染物和缺陷检测的结构性光调制分析技术的数学模型
Improved mathematical models of structured-light modulation analysis technique for contaminant and defect detection
论文作者
论文摘要
光学组件的表面质量检查在光学和电子工业中至关重要。结构性轻型调制分析技术(SMAT)是最近提出的一种新的方法,用于镜面表面和透明物体的污染物和缺陷检测,并且该方法被证实可有效消除环境光。根据光度法理论以及污染物和缺陷的光学特征分析和建立了SMAT的机制和数学模型。但是,在实际检测过程中仍然存在一些难题,仍然存在一些现象,这是无法很好地解释的。为了更好地分析实际情况下的现象,基于本文污染物和缺陷的表面地形构建了改进的SMAT数学模型。这些数学模型可以用作分析不同系统中各种污染物和缺陷的工具,并为后续工作提供有效的指导。已经实施了有关调制和亮度通量的模拟和实验,以验证这些数学模型的有效性。另外,通过使用具有相互垂直正弦方向的条纹模式,可以合并两个获得的调制图像,以解决由调制的差异化响应引起的不完整信息采集问题。
Surface quality inspection of optical components is critical in optical and electronic industries. Structured-Light Modulation Analysis Technique (SMAT) is a novel method recently proposed for the contaminant and defect detection of specular surfaces and transparent objects, and this approach was verified to be effective in eliminating ambient light. The mechanisms and mathematical models of SMAT were analyzed and established based on the theory of photometry and the optical characteristics of contaminants and defects. However, there are still some phenomena exist as conundrums in actual detection process, which cannot be well explained. In order to better analyze the phenomena in practical circumstances, improved mathematical models of SMAT are constructed based on the surface topography of contaminants and defects in this paper. These mathematical models can be used as tools for analyzing various contaminants and defects in different systems, and provide effective instruction for subsequent work. Simulations and experiments on the modulation and the luminous flux of fringe patterns have been implemented to verify the validity of these mathematical models. In adddition, by using the fringe patterns with mutually perpendicular sinusoidal directions, two obtained modulation images can be merged to solve the incomplete information acquisition issue caused by the differentiated response of modulation.