光学学报, 2010, 30 (8): 2324, 网络出版: 2010-08-13   

基于散斑图纹理空域滤波的磨削表面粗糙度测量

Grinding Surface Roughness Measurement Based on the Spatial Filtering of Speckle Pattern Texture
作者单位
合肥工业大学 仪器科学与光电工程学院,安徽 合肥 230009
摘要
粗糙表面的激光散射会引起表面散斑图的强度分布,这种分布图包含了关于表面几何和物理性质的大量信息。对磨削表面形成的散斑图进行了基于空域滤波的纹理分析,提取出与粗糙度(Ra)成良好单调关系的参数。即对散斑图像进行基于窗口分形布朗运动模型的三类向量[归一化分辨率范围向量,归一化的像素对数目向量,和归一化的多分辨率强度差分向量(NMSID)]的提取,再进行NMSID向量滤波变换,对变换后的图像分别进行去零(去灰度值为零的像素点)前与去零后的统计分析。结果显示,去零后的能量和新熵两个特征量与Ra成良好单调关系。
Abstract
Surface speckle pattern intensity distribution resulting from laser light scattering from a rough surface contains various information about the geometrical and physical properties of the surface.A texture analysis method based on spatial filtering is used to analyze speckle patterns of grinding surface.The feature parameters of speckle texture with a good monotonic relation related to the surface roughness (Ra) are extracted.The basic principle of the texture analysis is to extract three types of vectors based on fractional Brownian motion model of window speckle images,which are the normalized scale range vector,the normalized pixel pair number vector,and the normalized multiscale intensity difference (NMSID) vector,then to make a NMSID vector transformation for speckle patterns,and finally statistically to investigate both the transformed images with zero gray pixels and the transformed images without zero gray pixels.The analysis results show that both texture features energy and new entropy of the transformed images have a good monotonic relation with surface roughness value Ra.

汪庆花, 卢荣胜, 杨蕾, 雷丽巧. 基于散斑图纹理空域滤波的磨削表面粗糙度测量[J]. 光学学报, 2010, 30(8): 2324. Wang Qinghua, Lu Rongsheng, Yang Lei, Lei Liqiao. Grinding Surface Roughness Measurement Based on the Spatial Filtering of Speckle Pattern Texture[J]. Acta Optica Sinica, 2010, 30(8): 2324.

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