{"title":"一种智能化的印刷品在线缺陷检测方法与系统","authors":"Xiangqian Peng, Youping Chen, Jingming Xie, Huaiguang Liu, Chenlin Gu","doi":"10.1109/ITCS.2010.45","DOIUrl":null,"url":null,"abstract":"With the improvement of printing precise and printing speed, manual quality checking is unable to satisfy the demand of high speed printing quality checking. This paper presents a real-time presswork defect detection method and system based on machine vision. It designs an image fusion-basing fiducially image dynamic updating method, uses multi-channel image subtraction to segment defects, and presents a fake defects removing method based on image contour. The real application shows that this inspection method and system is efficient and valid.","PeriodicalId":340471,"journal":{"name":"2010 Second International Conference on Information Technology and Computer Science","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"An Intelligent Online Presswork Defect Detection Method and System\",\"authors\":\"Xiangqian Peng, Youping Chen, Jingming Xie, Huaiguang Liu, Chenlin Gu\",\"doi\":\"10.1109/ITCS.2010.45\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the improvement of printing precise and printing speed, manual quality checking is unable to satisfy the demand of high speed printing quality checking. This paper presents a real-time presswork defect detection method and system based on machine vision. It designs an image fusion-basing fiducially image dynamic updating method, uses multi-channel image subtraction to segment defects, and presents a fake defects removing method based on image contour. The real application shows that this inspection method and system is efficient and valid.\",\"PeriodicalId\":340471,\"journal\":{\"name\":\"2010 Second International Conference on Information Technology and Computer Science\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Second International Conference on Information Technology and Computer Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITCS.2010.45\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Second International Conference on Information Technology and Computer Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITCS.2010.45","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Intelligent Online Presswork Defect Detection Method and System
With the improvement of printing precise and printing speed, manual quality checking is unable to satisfy the demand of high speed printing quality checking. This paper presents a real-time presswork defect detection method and system based on machine vision. It designs an image fusion-basing fiducially image dynamic updating method, uses multi-channel image subtraction to segment defects, and presents a fake defects removing method based on image contour. The real application shows that this inspection method and system is efficient and valid.