An online defects inspection method for float glass fabrication based on machine vision
An online defects inspection method for float glass fabrication based on machine vision
复制标题
DOI：
10.1007/s00170-007-1302-7
复制
发表时间：
2008-12
期刊：
影响因子：
--
通讯作者：
Xiangqian Peng;Youping Chen;Wen-yong Yu;Zude Zhou;Guodong Sun
中科院分区：
文献类型：
--
作者：
Xiangqian Peng;Youping Chen;Wen-yong Yu;Zude Zhou;Guodong Sun
质量控制是浮法玻璃生产中的一个关键问题，浮法玻璃中存在的缺陷会大大降低玻璃的等级。浮法玻璃质量控制中的人工检测已经不能适应浮法玻璃工业的发展，玻璃缺陷自动检测已成为发展趋势。提出了一种基于机器视觉的浮法玻璃缺陷在线检测方法，实现了一种分布式浮法玻璃缺陷在线检测系统。该方法通过检测玻璃与缺陷之间光学特性差异引起的图像灰度变化来检测缺陷。围绕玻璃图像的分析和在线检测系统对可靠性、实时性、准确性的要求，建立了一系列图像处理算法。采用基于梯度方向的图像滤波方法滤除噪声，保留缺陷源信息。基于自适应曲面的下阈值法去除了由条纹组成的背景，增强了缺陷特征。分别通过固定阈值和限制灰度范围的大津算法获得缺陷的失真部分和核心部分。假缺陷（昆虫、灰尘等）基于真实的缺陷的纹理被消除。基于该方法的检测系统在武汉玻璃厂的实际应用证明了该检测方法的有效性、准确性和可靠性。
Quality control is a crucial issue in a float glass factory, and defects existing in float glass can dramatically depress glass grade. Manual inspection in float glass quality control cannot catch up with the development of float glass industry, and automatic glass defect inspection has been a trend. An online defects inspection method for float glass based on machine vision is presented in this paper, and a distributed online defect inspection system for float glass fabrication is realized. This method inspects defects through detecting the change of image gray levels caused by the difference in optic character between glass and defects. A series of image processing algorithms are set up around the analysis of glass image and the requirements of online inspection system such as reliability, real-time, and veracity. Image filtration based on gradient direction is used to filter noise and reserve the source information of defects. Downward threshold based on adaptive surface removes the background composed with stripes and strengthens defect features. Distortion part and core part of defects are obtained through fixed threshold and OTSU algorithms with gray range restricted, respectively. The fake defects (insects, dust, etc.) are eliminated based on the texture of real defects. The application of an inspection system based on this method in Wuhan glass factory proves this inspection method is effective, accurate, and reliable.