基于机器视觉的纸病检测系统发展综述  

Review on the Development of Paper Defect Detection System Based on Machine Vision Technology

作　　者：周强[1] 陈颖[1] 沈天宇[1] 齐璐[1] 

机构地区：[1]陕西科技大学电气与信息工程学院,陕西西安710021

出　　处：《中国造纸》2016年第5期72-79,共8页China Pulp & Paper

基　　金：陕西省科技攻关项目(2016GY-005);陕西省科技攻关项目(2011K06-06);陕西省项目统筹创新工程计划项目(2012KTCQ01-19);西安市未央区计划项目(201304)

摘　　要：在详细介绍以机器视觉技术为核心的纸病检测流程的基础上,研究、梳理和归纳了纸病检测系统在硬件模式、软件系统和检测算法上的发展历程,分析了当前纸病检测中存在的难点问题,并讨论了该技术的发展前景。In recent years, with widely application of wide width and high speed paper machine, papermaking process required high perform- ance paper defect detection system; at the same time, many new solutions, technologies, theories are presented in the age with abundant in- formation, which drives the continuous development of paper defect detection that is a multi-field integrated technologies. This article based on introducing paper defect detection process using machine vision technology as the core, reviewed the development course of the hardware model, software model and detection algorithms of paper defect detection system, analyzed the current difficulties in paper defect detection, and discussed the future development of the system.

关 键 词：纸病检测 机器视觉 硬件模式 软件系统 检测算法 

分 类 号：TS736.2[轻工技术与工程—制浆造纸工程]