基于OpenCV的木材表面缺陷检测系统

Wood surface defect detection system based on Open CV

为了解决木材加工过程中人工检测木材表面缺陷效率低、检测质量差异大等问题,运用计算机视觉技术,设计一种实时在线自动检测木材表面缺陷的检测系统。系统能够检测木材表面是否存在缺陷,并准确检测出木材表面缺陷的大小以及位置,将这些信息存储起来,以便后续指导木材加工设备对木材进行加工作业。该系统具有检测准确、速度快等特点。通过大量实验,得出检测的准确率达到92.33%,平均检测时间为2 ms,实验结果表明该系统具有可行性。

Since the manual detection for wood surface defect in the process of wood processing exists the problems of low efficiency and large quality difference,a real?time on?line automatic detection system of wood surface defect was designed by means of computer vision technology.The system can find out whether the wood surface has defect,detect the size and location of the wood surface defect accurately,and store the information to guide the wood processing equipment for wood processing.The system has the characteristic of accurate and fast detection speed.The conclusion from various experiments indicates that the system′s recognition accuracy rate can reach up to92.33%,and the average detection time is2ms,which shows that the system is feasible.