With the development and application of optoelectric 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++ , 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, Sq, S ku and Ra is discussed for different surface roughness specimens.
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Zhongxiang, H., Lei, Z., Jiaxu, T. et al. Evaluation of three-dimensional surface roughness parameters based on digital image processing. Int J Adv Manuf Technol 40, 342–348 (2009). https://doi.org/10.1007/s00170-007-1357-5
- Digital image processing
- Surface roughness