Modeling and Classifying Surface Roughness via Laser Speckle Statistics
作者单位：Department of Electrical ＆ Electronic EngineeringUniversity of MelbourneAustralia
会议名称：《2011 World Congress on Engineering and Technology(CET 2011)》
会议日期：2011年
学科分类：080901[工学-物理电子学] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 080401[工学-精密仪器及机械] 0804[工学-仪器科学与技术] 0803[工学-光学工程]
摘 要：Laser speckle interferometry can be used to classify roughness level of a randomly textured surface,where the performance of classification is dominated by the statistical method *** this paper,a simulation model of laser speckle patterns based on coherent electromagnetic wave scattering from a purely randomly textured surface under various roughness levels is described and *** model enables efficient simulation methods to be used for the study of statistical properties of laser speckle patterns and understanding the relationship between speckle statistics and surface *** addition,an autocorrelation based analysis method is proposed to summarise the statistical signatures of various roughness levels parameterised by the amplitude of a Gaussian random *** presented statistical results,which are computed using simulated laser speckle patterns under two different measurement scenarios,show a consistent agreement with *** proposed analysis method is also demonstrated to be capable to accurately discriminate roughness class of a surface.