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基于3D图像分析的瓷砖表面缺陷自动控制

Automated Control of Surface Defects on Ceramic Tiles Using 3D Image Analysis.

作者信息

Sioma Andrzej

机构信息

Faculty of Mechanical Engineering and Robotics, Department of Process Control, AGH University of Science and Technology, 30-059 Krakow, Poland.

出版信息

Materials (Basel). 2020 Mar 10;13(5):1250. doi: 10.3390/ma13051250.

DOI:10.3390/ma13051250
PMID:32164207
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7085050/
Abstract

This paper presents a method of acquisition and analysis of three-dimensional images in the task of automatic location and evaluation of defects on the surface of ceramic tiles. It presents a brief description of selected defects appearing on the surface of tiles, along with the analysis of their formation. The paper includes the presentation of the method of constructing a 3D image of the tile surface using the Laser Triangulation Method (LTM), along with the surface imaging parameters employed in the research. The algorithms of three-dimensional surface image analysis of ceramic tiles used in the process of image filtering and defect identification are presented. For selected defects, the method of measuring defect parameters and the method of visualization of defects on the surface are also presented. The developed method was tested on defective products to confirm its effectiveness in the field of quick defect detection in automated control systems installed on production lines.

摘要

本文提出了一种在瓷砖表面缺陷自动定位与评估任务中获取和分析三维图像的方法。文中简要描述了瓷砖表面出现的选定缺陷,并分析了其形成原因。本文还介绍了使用激光三角测量法(LTM)构建瓷砖表面三维图像的方法以及研究中采用的表面成像参数。文中给出了在图像滤波和缺陷识别过程中使用的瓷砖三维表面图像分析算法。对于选定的缺陷,还介绍了测量缺陷参数的方法以及表面缺陷可视化方法。所开发的方法在有缺陷的产品上进行了测试,以确认其在安装于生产线上的自动控制系统中快速缺陷检测领域的有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ded1/7085050/4616bf3f5db7/materials-13-01250-g012.jpg
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本文引用的文献

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Sensors (Basel). 2010;10(6):5949-61. doi: 10.3390/s100605949. Epub 2010 Jun 14.
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Identification of granite varieties from colour spectrum data.从颜色光谱数据中识别花岗岩品种。
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