一种平板玻璃缺陷在线检测系统的研究

The system research for on-line defect inspection of flat glass

根据光干涉的原理和视觉检测方法,研究开发了基于机器视觉的玻璃缺陷检测系统。针对实际的目标图像,通过对其进行图像获取、图像预处理、图像分割、特征提取和区域参数计算研究,从而获得玻璃表面锡点、气泡、玻筋等缺陷图像的识别信息。实验表明,该算法简单,速度快,系统抗干扰能力强。系统处理周期最大不超过400 m s,能检测出最小0.3 mm的缺陷。

Based on the principle of optical interference and vision detection technique,a machine vision based glass defect inspection system was developed.The target image was acquired,preprocessed and segmented.Its features were extracted and regional parameters were calculated.The defect information such as tin spots,air bubbles and glass ribs was obtained.The experiment indicates that the algorithm is simple,fast and reliable.The system can detect defects down to 0.3mm with maximum processing cycle less than 400ms.