摘要
探讨基于CCD视觉传感器的异纤在线检测技术。为了提高异纤的检出率,对检测系统的整体结构进行设计,采用中值滤波的方法对灰度处理后的图像进行去噪处理,利用边缘检测的方法实现对异性纤维的识别,获取异纤的边界信息,实现对目标的定位;通过PLC控制检测系统和异性纤维气动清除装置,实现对异纤准确且及时的检测与清除。通过试验可得出装置的最佳参数:CCD摄像机检测距离110 mm,检测原棉层厚度12 mm,待检原棉层移动速度2.0m/min,剥棉罗拉转速1 000r/min,喷嘴压力0.5MPa。认为:异性纤维在线检测装置检测能力较高,对普通异纤的检出率可以达到90%以上,对头发丝等细小物质的检出率可以达到85%以上。
The online inspection technology for foreign fibers based on CCD visual sensor was discussed. In order to improve the detection rate of foreign fibers, the whole structure of detection system was designed. The median filter method was used for the de noising treatment of images after grey processing. The edge detection method was adopted to achieve the identification of foreign fiber,to obtain the boundary information of foreign fi- ber and to realize the target location. Through PLC control detecting system and the pneumatic clearing device for foreign fiber, the foreign fibers were detected and cleaned accurately and timely. The optimizing parameters of the equipment were obtained by experiments. The detecting distance for CCD video camera is 110 mm,the raw cotton layer thickness in detection is 12 ram, the moving speed for the raw cotton layer waiting for inspection is 2.0 m/min,the stripper roller running speed is 1 000 r/min and the nozzle pressure is 0.5 MPa. It is considered that the detectability for foreign fiber with the online detection equipment is higher. Its detection rate for normal foreign fibers can be reached larger than 90% and the detection rate for tiny substantial like hair and so on can be reached larger than 85 ~.
出处
《棉纺织技术》
CAS
北大核心
2018年第2期5-8,共4页
Cotton Textile Technology
基金
基于多源信息融合的纤维及增强碳纤维动态在线检测技术基础研究(2010CB334711)
关键词
异性纤维
原棉
图像处理技术
在线检测技术
HSI颜色空间
中值滤波
Foreign Fiber, Raw Cotton, Image Processing Technology, Online Inspection Technology, HSIColor Space, Median Filtering
