摘要
针对冷轧带钢表面缺陷图像采集计算量大、实时性强的特点,在提取灰度信息特征的基础上,采用二级检测的处理方法采集缺陷图像.实验验证结果表明:二级检测模式可以提高检测速度、缩短检测时间,具有良好的生产适应性.
Aiming at the characteristic of vast calculated amount and high real time quality in image collecting of cold steel strip surface defect,based on the gray feature extraction,the two-stage detection method to defect image collecting are proposed.The experimental results show that two-stage detection pattern has a good adaptability on improving detection speed and shortening detection time.
出处
《中原工学院学报》
CAS
2011年第1期45-47,共3页
Journal of Zhongyuan University of Technology
关键词
冷轧带钢
表面缺陷
灰度
二级检测
cold steel strip
surface defect
gray
two-stage detection