摘要
针对汽车发动机进气管中存在杂质及缺陷难以检测的现状,提出了以机器视觉为基础,以LabVIEW的Vision and Motion模块及其附属可视化软件Vision Assistant获取图像信息的检测方法。通过对图像进行预处理、形态学处理、图像分割、高级形态学处理等建立起一个完整的汽车发动机进气管检测系统。实践表明,该检测方法操作合理,检测方便,实用性强,可视化效果好,完全满足检测技术要求。
In this paper,a method based on machine vision has been presented,which is used to detect the impurities and defects existing in the intake pipe of automobile engine.By establishing the module of Vision and Motion in LabVIEW and Vision Assistant,the method conducts a series of image processing,such as image preprocessing,image morphology processing,image segmentation,senior morphology processing,and develops the detection system for the intake pipe of automobile engine.Practice shows that this detection method is reasonable and the operation is convenient and practical.The visual effect is good.The detection method meets the testing requirements.
出处
《光学仪器》
2015年第4期308-313,共6页
Optical Instruments
