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3D surface profile diagnosis using digital image processing for laboratory use

实验室用数字图像处理进行三维表面轮廓诊断

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Abstract

The measurement of the surface quality and the profile preciseness is major issues in many industrial branches such that the surface quality of semi products directly affects the subsequent production steps. Although, there are many ways to obtain required data, the hardware necessary for the measurements such as 2D or 3D scanners, depending on the problem’s complexity, is too expensive. Therefore, in this paper, what we put forward as a novelty is an algorithm which is verified on the model of simple 3D scanner on the image processing basis with the resolution of 0.1 mm. There are many ways to scan surface profile; however, the image processing currently is the most trending topic in industry automation. Most importantly, in order to obtain surface images, standard high resolution reflex camera is used and thus the post processing could be realized with MatLab as the software environment. Therefore, this solution is an alternative to the expensive scanners, and single-purpose devices could be extended by many additional functions.

摘要

表面质量和轮廓精度的测量难是许多工业行业中存在的主要问题, 半成品的表面质量直接影响 到后续的生产步骤。虽然有许多方法可以获得所需的数据, 但根据问题的复杂性所需要的测量硬件, 比如二维或三维扫描仪, 都比较昂贵。因此, 本文提出一种新颖的算法, 并在简单的三维扫描仪模型 上, 以0.1 mm 的分辨率的图像处理进行了验证。扫描表面轮廓的方法有很多, 但图像处理是目前工 业自动化中最热门的课题。最重要的是, 为了获得表面图像, 使用标准的高分辨率反射相机, 以MatLab 为软件环境实现后处理。因此, 这种解决方案可以替代昂贵的扫描仪, 利用单一用途设备的额外功能 扩展来实现。

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Acknowledgments

The authors are grateful for the support of student Sebastien Mambou in consultations regarding application aspects.

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Authors and Affiliations

  1. Center for Basic and Applied Research, Faculty of Informatics and Management, University of Hradec Kralove, Rokitanskeho 62, Hradec Kralove, 50003, Czech Republic

    Robert Frischer, Ondrej Krejcar PhD (Professor), Ali Selamat & Kamil Kuca

  2. Malaysia Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia Kuala Lumpur, Jalan Sultan Yahya Petra, Kuala Lumpur, 54100, Malaysia

    Ali Selamat

  3. Media and Games Center of Excellence (MagicX), Universiti Teknologi Malaysia, Skudai, 81310, Malaysia

    Ali Selamat

  4. School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia (UTM), Skudai, 81310, Malaysia

    Ali Selamat

Authors
  1. Robert Frischer
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  2. Ondrej Krejcar PhD
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  4. Kamil Kuca
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Corresponding author

Correspondence to Ondrej Krejcar PhD.

Additional information

Foundation item: Project(2102-2020) supported by the SEV Project, University of Hradec Kralove, FIM, Czech Republic; Project(Vot-20H04) supported by Universiti Teknologi Malaysia (UTM); Project(Vot 4L876) supported by Malaysia Research University Network (MRUN); Project(Vot 5F073) supported by the Fundamental Research Grant Scheme (FRGS), Ministry of Education Malaysia

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Frischer, R., Krejcar, O., Selamat, A. et al. 3D surface profile diagnosis using digital image processing for laboratory use. J. Cent. South Univ. 27, 811–823 (2020). https://doi.org/10.1007/s11771-020-4333-y

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