摘要
针对一类薄壁管的尺寸和缺陷检测问题,提出基于视觉的检测方法。通过使用斑点分析工具及斑点特征参数,在VC6·0平台下利用MIL函数库的函数实现该检测算法,解决诸如加工端面的凹坑、划痕、倒角斜面变弧面等缺陷的检测和倒角投影面全圆周方向的宽度检测等问题。实际运行结果显示,该算法满足实际检测的精度和速度要求。
Vision-based detection method was proposed for size and defects detection of thin-walled tubes. Through using blob analytical tools and Blob characteristic parameters, the detection algorithm was implemented using MIL library functions in VC6. 0 platform to detect such as pits of the processing end, scratches, chamfer changing into arc surface, and to detect the width of full circumferential direction of chamfer projection plane. The results show that the algorithm meets the requirements of accuracy and speed of real test.
出处
《机床与液压》
北大核心
2010年第7期35-38,共4页
Machine Tool & Hydraulics
基金
广东省广东工业大学信息工程名牌专业资助项目
中山中炬高新技术实业(集团)股份有限公司博士后启动经费资助项目
关键词
缺陷检测
视觉检测
斑点分析
薄壁管
MIL库函数
Defect detection
Vision detection
Blob analysis
Thin-walled tube
MIL （Matrox image library） function
