{"title":"基于图像识别的织物疵点检测系统","authors":"Jingmiao Zhang, Xianzun Meng","doi":"10.1109/IWISA.2010.5473549","DOIUrl":null,"url":null,"abstract":"It is a newer research hotspot using digital image recognition technology to solve the fabric defect in textile enterprises in recent years. Adopting image-recognition technology, through the fabric digital image preprocessing and recognition，measured the fabric defects, stored the related information in order to achieve fabric defect detection automatic, improved the efficiency of defect detection. Fabric defect detection system mainly included three parts: The first, the fabric image acquisition, pre-processing part. The second, the identifier, measurement and storage defect of fabric defect. The third, control mechanism automatically accomplished defect location and identifier. Simulation experiment analysis shows that the time consumption using in image processing algorithms can meet the real-time detection requirements.","PeriodicalId":298764,"journal":{"name":"2010 2nd International Workshop on Intelligent Systems and Applications","volume":"82 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A Fabric Defect Detection System Based on Image Recognition\",\"authors\":\"Jingmiao Zhang, Xianzun Meng\",\"doi\":\"10.1109/IWISA.2010.5473549\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It is a newer research hotspot using digital image recognition technology to solve the fabric defect in textile enterprises in recent years. Adopting image-recognition technology, through the fabric digital image preprocessing and recognition，measured the fabric defects, stored the related information in order to achieve fabric defect detection automatic, improved the efficiency of defect detection. Fabric defect detection system mainly included three parts: The first, the fabric image acquisition, pre-processing part. The second, the identifier, measurement and storage defect of fabric defect. The third, control mechanism automatically accomplished defect location and identifier. Simulation experiment analysis shows that the time consumption using in image processing algorithms can meet the real-time detection requirements.\",\"PeriodicalId\":298764,\"journal\":{\"name\":\"2010 2nd International Workshop on Intelligent Systems and Applications\",\"volume\":\"82 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 2nd International Workshop on Intelligent Systems and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWISA.2010.5473549\",\"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 2nd International Workshop on Intelligent Systems and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWISA.2010.5473549","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Fabric Defect Detection System Based on Image Recognition
It is a newer research hotspot using digital image recognition technology to solve the fabric defect in textile enterprises in recent years. Adopting image-recognition technology, through the fabric digital image preprocessing and recognition，measured the fabric defects, stored the related information in order to achieve fabric defect detection automatic, improved the efficiency of defect detection. Fabric defect detection system mainly included three parts: The first, the fabric image acquisition, pre-processing part. The second, the identifier, measurement and storage defect of fabric defect. The third, control mechanism automatically accomplished defect location and identifier. Simulation experiment analysis shows that the time consumption using in image processing algorithms can meet the real-time detection requirements.
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