激光测距在表面缺陷检测中的应用  

Application of laser range-finding in surface defect detection

作　　者：廖延娜 范坤 

机构地区：[1]西安邮电大学理学院,陕西西安710121 [2]西安邮电大学电子工程学院,陕西西安710121

出　　处：《现代电子技术》2017年第22期145-148,共4页Modern Electronics Technique

基　　金：陕西省教育厅科学研究计划资助项目(12JK0559)

摘　　要：精密工件在生产和运输过程中其表面会产生缺陷,长度和深度达到一定值的缺陷会影响设备的运行。传统的缺陷检测只是检测缺陷并未考虑缺陷长度和深度因素,因此提出将激光测距应用于表面缺陷检测。首先用激光轮廓仪获得的距离数据重建工件表面图像,再利用数字图像处理相关理论及OpenCV计算机视觉技术提取重建图像中缺陷像素位置信息并与实际距离数据对应,进而计算出缺陷的参考长度和深度。经过大量重复试验,缺陷的参考长度和人工使用游标卡尺测量的长度误差小于0.1 mm,参考深度稳定,检测速度快,具有一定的应用价值。The defect may be produced on the surface of precision workpiece in production and transportation process,which will affect the operation of equipment when the length and depth of the defect reach a certain value.The traditional defect detection does not take into account the length and depth,so the laser range-finding is applied to the surface defect detection.The laser contourgraph is used to get the distance data to reconstruct the image of the workpiece surface.The correlation theory of digital image processing and OpenCV computer visual technology are adopted to extract the defect pixel′s location information in the reconstructed image.The location information is corresponded to the practical distance data to calculate the reference length and depth of the defect.The results of a large number of repeated experiments show that the error between the defect′s reference length and the length measured with vernier caliper is less than 0.1 mm,the reference depth is stable,and the laser rangefinding has fast detection speed and a certain application value.

关 键 词：激光测距 图像重建 缺陷检测 OPENCV 

分 类 号：TN98-34[电子电信—信息与通信工程] TP391.9[自动化与计算机技术—计算机应用技术]