Department of Mechanical Engineering and Machine Tools, Technical University of Varna, 9010 Varna, Bulgaria.
Department of Mechanics and Machine Elements, Technical University of Varna, 9010 Varna, Bulgaria.
Sensors (Basel). 2023 Jun 21;23(13):5801. doi: 10.3390/s23135801.
Advanced in the present paper is an innovative approach for three-dimensional modeling of the regular relief topography formed via a ball burnishing process. The proposed methodology involves capturing a greyscale image of and profile measuring the surface topography in two perpendicular directions using a stylus method. A specially developed algorithm further identifies the best match between the measured profile segment and a row or column from the captured topography image by carrying out a signal correlation assessment based on an appropriate similarity metric. To ensure accurate scaling, the image pixel grey levels are scaled with a factor calculated as being the larger ratio between the ultimate heights of the measured profilograms and the more perfectly matched image row/column. Nine different similarity metrics were tested to determine the best performing model. The developed approach was evaluated for eight distinct types of fully and partially regular reliefs, and the results reveal that the best-scaled 3D topography models are produced for the fully regular reliefs with much greater heights. Following a thorough analysis of the results obtained, at the end of the paper, we draw some conclusions and discuss potential future work.
本文提出了一种通过球压光工艺形成规则形貌的三维建模的创新方法。该方法涉及使用触针法捕获灰度图像并在两个垂直方向上进行轮廓测量。通过基于适当相似性度量的信号相关评估，特别开发的算法进一步识别测量轮廓段与捕获形貌图像中的行或列之间的最佳匹配。为了确保准确的缩放，图像像素灰度级通过缩放因子进行缩放，该因子的计算方法是测量轮廓的最终高度与更完美匹配的图像行/列之间的较大比值。测试了九种不同的相似性度量标准，以确定性能最佳的模型。所提出的方法针对八种不同类型的完全和部分规则形貌进行了评估，结果表明，对于具有更大高度的完全规则形貌，可以生成最佳缩放的 3D 形貌模型。在对所得结果进行彻底分析后，在论文的最后，我们得出了一些结论并讨论了潜在的未来工作。
