The main goal of this paper was to examine whether image processing can be an effective tool in automatic quality control systems for furniture manufacturing, at least in cases where delamination is a key problem. Image processing turned out to be a very effective way of delamination factor monitoring. Moreover, the research analyzed the quality effect of up or down milling of melamine-faced MDF. The delamination factor increased significantly with increasing tool wear. However, the increase was not very regular. The experimental data showed that up milling had a significant advantage over down milling.

中文翻译：

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使用图像处理方法自动监控面朝三聚氰胺的MDF铣削过程中（常规）和下降（爬升）时的分层因子

本文的主要目的是检查图像处理是否可以成为家具制造自动质量控制系统中的有效工具，至少在分层是关键问题的情况下。事实证明，图像处理是一种非常有效的分层因子监控方法。此外，研究分析了三聚氰胺面中密度纤维板上下铣削的质量效果。随着刀具磨损的增加，分层因子显着增加。但是，增长不是很规律。实验数据表明，上铣比下铣具有明显的优势。