计算机科学 ›› 2018, Vol. 45 ›› Issue (6): 296-300.doi: 10.11896/j.issn.1002-137X.2018.06.052
钱基德1,5, 陈斌2,5, 钱基业3, 赵恒军4, 陈刚1,5
QIAN Ji-de1,5, CHEN Bin2,5, QIAN Ji-ye3, ZHAO Heng-jun4, CHEN Gang1,5
摘要: 通过分析液晶屏中缺陷检测的必要性和人工检测的不足,研究一种基于机器视觉的液晶屏Mura缺陷在线检测系统。针对液晶屏中的Mura缺陷区域和周围背景对比度低、边缘模糊、形状各异、整体亮度不均等特点,建立模拟人工检测的成像系统。提出单帧图像背景建模和背景差分方法,该方法能有效解决液晶屏的亮度不均问题,同时增强Mura缺陷的特征信息。然后基于最大稳定极值区域(Maximally Stable Extremal Region,MSER),提出Mura缺陷自适应阈值缺陷分割方法,建立一个全自动缺陷在线检测的视觉系统。实验结果表明,所提检测算法能很好地解决液晶屏亮度不均的问题,准确地对Mura缺陷进行分割定位,算法的鲁棒性好。并且该系统人工干预少,效率高,能实现在线自动检测。
中图分类号:
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