文献类型：期刊文献

中文题名：基于机器视觉的刨花板表面缺陷检测系统

英文题名：A System Based on Machine Vision for Detecting Surface Defects of Particleboard

作者：郭慧[1] 盛振湘[2] 王霄[1] 刘传泽[3] 周玉成[1,3] 岳群飞[2]

机构：[1]中国林科院木材工业研究所,北京100091;[2]中国福马机械集团有限公司,北京100029;[3]山东建筑大学,山东济南250101

年份：2019

卷号：33

期号：3

起止页码：18-22

中文期刊名：木材工业

外文期刊名：China Wood Industry

收录：CSTPCD;;北大核心:【北大核心2017】；

基金：木竹产业技术创新战略联盟科研计划课题"自动分拣喷码包装系统"(TIAWBI2014-08);中央级公益性科研院所基本科研业务费专项资金项目"人造板表面质量CCD图像同步检测系统"(CAFYBB2018MB002);泰山学者优势特色学科人才团队(2015162)

语种：中文

中文关键词：表面缺陷;检测;机器视觉;多线程;连续压机生产线

外文关键词：surface defect;detection;machine vision;multithreading;continuous press production line

分类号：S784;TS653

摘要：针对目前国内人造板企业在板面缺陷检测仍然依靠人工的情况,开发基于机器视觉技术的刨花板表面缺陷自动检测系统。利用工业相机采集板材表面图像,使用C++、OpenCV、JAI_SDK类库和MFC多线程技术实现缺陷检测算法,通过计算机串口与生产线控制系统通信。系统运行稳定、缺陷定位准确、参数配置灵活,检测效果和检测速度可满足连续压机生产线在线检测要求。
An automatic system based on machine vision technology was developed for detecting surface defects of particleboard. The system was mainly composed of an industrial camera which was used for acquiring panel images and a defect detection algorithm which was implemented by C++, OpenCV, JAI_SDK class library and MFC multithreading technology. The system communicated with production line control systems through computer serial ports. Test results showed that the system operated stably with a high accuracy in locating surface defects and was flexible in parameters configurations. Both of defect detection effects and operation speed of the system could meet requirements of on-line inspection for continuous press production lines.