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一种基于图像内容自动分析的印刷故障智能诊断系统

发表时间:2012-11-30  浏览量:1200  下载量:515
全部作者: 李川,孙光宇,杨硕,徐奕
作者单位: 上海理工大学管理学院;上海交通大学电子信息与电气工程学院
摘 要: 针对数字印刷故障诊断应用,基于图像内容的自动分析,建立了一个实用的从扫描前端到故障诊断终端的智能分析系统。针对图像质量属性提出基于Gabor小波变换的图像模糊定量评价方法,并基于图像内容的自动分析提出4种常见印刷故障判别方法,可自动实现印刷图像的质量评测及确定导致印刷图像质量问题的印刷故障类型。
关 键 词: 信息处理技术;印刷质量;扫描失真校正;印刷故障诊断
Title: An intelligent fault diagnosis system of digital printing based on automatic image content analysis
Author: LI Chuan, SUN Guangyu, YANG Shuo, XU Yi
Organization: Business School, University of Shanghai for Science & Technology; School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University
Abstract: For application of printing fault diagnosis in digital printing process, this paper presents a software framework of intelligent diagnosis for digital printing failure process using automatic image content analysis. This system considers the whole printing procedure from the scanning front to fault-detection terminal. Regarding printing image quality, this system focuses on providing image blur measurement based on Gabor wavelet transform and recognizing four common printing failure processes based on antomatic image content analysis. The experimental results demonstrate that the proposed system can automatically realize quality assessment of printing images and form a correct diagnosis for the printing failure reasons.
Key words: information processing technique; printing quality; scanning distortion correction; printing fault diagnosis
发表期数: 2012年11月第22期
引用格式: 李川,孙光宇,杨硕,等. 一种基于图像内容自动分析的印刷故障智能诊断系统[J]. 中国科技论文在线精品论文,2012,5(22):2158-2166.
 
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