| 摘 要: 针对利用人的感觉器官在工业生产线检测中的不足，提出了一个基于机器视觉的锯片缺陷检测系统。通过 工业数码相机等硬件采集图像信息，采用亚像素精度阈值分割等图像处理算法并借助机器视觉库Halcon对采集的原始图 像进行处理，最后输出检测结果，提高了工业生产线检测的效率。 |
| 关键词: 机器视觉；锯片；检测系统 |
|
中图分类号: TP391.41
文献标识码: A
|
| 基金项目: 2014年淮安市科技指导项目. |
|
| Design of Machine Vision-based Defect Detection System for Workpiece Saw Blade |
|
GUAN Xiaowei,DING Lin
|
(School of Mechanical Engineering and Information Technology Jiangsu Vocational and Technical College of Finance & Economics, Huaian 223003, China)
|
| Abstract: Aiming at the shortage of the human sense organs in the industrial production line detection,the paper proposes a machine vision-based defect detection system for workpiece saw blade.The system applies industrial digital cameras to collect images,uses sub-pixel accuracy threshold segmentation as the image processing algorithm,adopts the professional machine vision library,Halcon,to process the original images,and finally outputs the test results.The system actually improves the detection efficiency of the industrial production line. |
| Keywords: machine vision;saw blade;detection system |
