Statistical analysis of surface roughness measurements using laser speckle images

2012 World Congress on Information and Communication Technologies Pub Date : 2012-10-01 DOI:10.1109/WICT.2012.6409106

T. Jeyapoovan, M. Murugan, B. C. Bovas

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引用次数: 10

Abstract

Stylus profilers are still used as a successful method for surface roughness measurement in spite of its stylus tip diameter that acts as a low pass filter on steep valley on rough surfaces. The setup and operation time for surface measurements using a stylus profiler is considerably high. Hence a reliable non-contact optical technique for surface measurements has good potential for surface measurements based on the availability of a powerful CCD camera and fast processing digital computers. When a rough surface is illuminated with a coherent laser source, a speckle image is formed due to the scattering of light rays on the rough surface. The speckle pattern thus obtained can be used for surface roughness measurements. The contrast of the speckle image is processed to evaluate the surface roughness using the surface image parameters. Statistical parameters such as mean, variance, standard deviation, skew and kurtosis were used to analyze surface roughness using the pixel intensity of the surface images. Milled and ground surface specimens were used, and the images obtained were processed using MATLAB software.

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利用激光散斑图像测量表面粗糙度的统计分析

尽管它的笔尖直径在粗糙表面上的陡谷上起到低通滤波器的作用，但手写笔分析器仍然被用作表面粗糙度测量的成功方法。使用触控笔剖面仪进行表面测量的设置和操作时间相当高。因此，基于强大的CCD相机和快速处理的数字计算机的可用性，可靠的非接触式表面测量光学技术具有良好的表面测量潜力。当用相干激光照射粗糙表面时，由于光线在粗糙表面上的散射，形成散斑图像。由此获得的散斑图案可用于表面粗糙度测量。对散斑图像进行对比度处理，利用表面图像参数评价表面粗糙度。采用均值、方差、标准差、偏态、峰度等统计参数，利用表面图像的像素强度对表面粗糙度进行分析。采用铣削和磨削表面试样，利用MATLAB软件对得到的图像进行处理。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2012 World Congress on Information and Communication Technologies

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