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Evaluation of three-dimensional surface roughness parameters based on digital image processing

机译:基于数字图像处理的三维表面粗糙度参数评估

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摘要

With the development and application of opto-electric technology, laser technology and computer technology in mind, we have developed a method to evaluate three-dimensional surface roughness using surface profile information. This article proposes a three-dimensional measuring technique, which is used to survey components surface roughness, based on the digital image processing technology, and establishes athree-dimensional surface roughness evaluation system consisting of both hardware and software architecture. The hardware used in the present experiment is listed as follows: a stereomicroscope, a digital camera with special interface, a parallel light (by halogen lamp), an X, Y bidirectional laboratory bench and a computer. A computer-aided system (CAS), developed with Visual C{sup}(++) is used in the image pretreatment and data processing analysis. In the experiment, image information gathered from the digital camera is pre-processed by median filtering, grayscale equalization and histogram conversion amplification. Then the data are analyzed by normalized cross-correlation and surface fitting techniques. Lastly, the correlation between m, σ, S{sub}q, S{sub}(ku) and Ra is discussed for different surface roughness specimens.
机译:考虑到光电技术,激光技术和计算机技术的发展和应用,我们已经开发了一种使用表面轮廓信息评估三维表面粗糙度的方法。本文提出了一种基于数字图像处理技术的三维测量技术,用于测量零件的表面粗糙度,建立了由硬件和软件两方面组成的三维表面粗糙度评估系统。本实验中使用的硬件如下:立体显微镜,具有特殊接口的数码相机,平行光(通过卤素灯),X,Y双向实验室工作台和计算机。由Visual C {sup}(++)开发的计算机辅助系统(CAS)用于图像预处理和数据处理分析。在实验中,通过中值滤波,灰度均衡和直方图转换放大对从数码相机收集的图像信息进行预处理。然后,通过归一化互相关和表面拟合技术对数据进行分析。最后,讨论了不同表面粗糙度试样的m,σ,S {sub} q,S {sub}(ku)和Ra之间的相关性。

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