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基于机器视觉的纸病诊断系统光源设计方案研究
Research on Light Source Design Scheme of Paper Defect Diagnosis System Based on Machine Vision
收稿日期：2022-06-08  
DOI：10.11980/j.issn.0254-508X.2022.10.010
关键词:  纸病诊断  纸张光学特性  光源特性  光源设计
Key Words:paper defect diagnosis  optical properties of paper  light source characteristics  light source design
基金项目:陕西省教育厅自然专项（17JK0645）；西安市科技计划项目（2020KJRC0146）。
作者单位邮编
汤伟 陕西科技大学电气与控制工程学院，陕西西安，710021 710021
王锦韫* 陕西科技大学电气与控制工程学院，陕西西安，710021 710021
冯波 陕西科技大学电气与控制工程学院，陕西西安，710021
陕西科技大学镐京学院，陕西西安，712046 		712046
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摘要:光源是基于机器视觉的纸病诊断系统中重要的部件之一。本课题围绕纸张的光学特性和光源特性开展研究，分析二者的特点，探索二者之间最佳的配合关系，并通过实验及系统运行表现确定相匹配的光源模块。结果表明，本课题设计的光源，在对低速窄幅纸机进行图像采集时，系统采集到的正常纸张图像背影灰度均匀、目标对比度较高。
Abstract:Light source is one of important part in the paper defect diagnosis system based on machine vision. The optical properties of paper and light source characteristics were carried out in this paper， of which the characteristics were analyzed to explore the best cooperation relationship between them. Finally， the match of the light source module was determined through experiment and running state of system. The results showed that the light source designed in this study could collect the normal paper images with uniform background grayscall， of which the target had high contrast when image acquisition for low-speed and narrow-web paper machines.
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