摘要
为准确捕捉到高频焊管错边缺陷的图像照片,建立了高频焊管焊缝图像的CCD视觉系统.对错边缺陷的焊缝图像进行了特征分析,使用形态学方法对焊管错边缺陷进行图像处理,提取图像边缘,在此基础上进一步提取了焊缝宽度和亮度信息.研究结果表明:焊缝宽度和焊缝边缘亮度可以作为视觉检测焊缝错边缺陷的重要图像特征,为进一步构建高频焊管焊缝缺陷视觉检测系统提供了基础.在虚拟仪器开发软件LabVIEW环境下,选择比色测温法构建了高频焊管焊接温度控制系统,并进行温控试验.试验结果表明:采样比色测温模式可较好降低烟尘、水汽等因素对测温的影响,提高测温结果的稳定性和精度,在测温稳定准确的基础上,温控系统控温效果良好.
To obtain real time detection of unfitness defect in high-frequency weld（HFW） pipe,a CCD visual measurement system was developed.The characteristic of the unfitness defect in captured image was analyzed.The image processing of misalignment was conducted by morphology method to extract edge image and the width and brightness of welding seam.The results show that the width and brightness of welding seam can be used as characteristic parameters to detect the unfitness defect in HFW pipe and to establish a visual system for inspecting welding unfitness.At the LabVIEW virtual instrument,the controlled temperature system of HFW pipe was established by colorimetric temperature measurement to rea-lize controlled temperature test.The test results show that the influences of dust,moisture and other interference factors on temperature measurement can be better reduced by colorimetry temperature measurement mode to improve the stability and precision of temperature.At the basis of stable and accurate temperature measurement,the effective temperature control system can be realized.
出处
《江苏大学学报（自然科学版）》
EI
CAS
北大核心
2012年第4期449-452,共4页
Journal of Jiangsu University：Natural Science Edition
基金
浙江金洲管道科技博士后工作站
兰州理工大学博士基金资助项目(BS052000907)
关键词
高频焊管
错边缺陷
形态学
图像特征
视觉检测
high-frequency welded pipe
unfitness defect
morphemically
image feature
visual inspection
