Hui Wang, Haofeng Hu, Xiaobo Li, Lin Zhao, Zijian Guan, Xiangying Kong, Tiegen Liu
{"title":"Metal surface detection using division-of-focal-plane imaging polarimetry","authors":"Hui Wang, Haofeng Hu, Xiaobo Li, Lin Zhao, Zijian Guan, Xiangying Kong, Tiegen Liu","doi":"10.1117/12.2522015","DOIUrl":null,"url":null,"abstract":"Imaging polarimetry has emerged over the past decades as a powerful tool to reveal the information invisible in intensity image. This paper aims at the application of division of focal plane (DoFP) imaging polarimetry in metal surface inspection. We obtain the intensity image and polarimetric image of some metal components on which there are defects, including scratch, wear, crack and burr. Experiment shows that polarimetric imaging can reduce the effect of strong reflection and improve the defect/surface contrast. The polarimetric image is more effective for metal surface inspection than the traditional intensity image.","PeriodicalId":370739,"journal":{"name":"International Conference on Photonics and Optical Engineering and the Annual West China Photonics Conference","volume":"81 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Photonics and Optical Engineering and the Annual West China Photonics Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2522015","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Imaging polarimetry has emerged over the past decades as a powerful tool to reveal the information invisible in intensity image. This paper aims at the application of division of focal plane (DoFP) imaging polarimetry in metal surface inspection. We obtain the intensity image and polarimetric image of some metal components on which there are defects, including scratch, wear, crack and burr. Experiment shows that polarimetric imaging can reduce the effect of strong reflection and improve the defect/surface contrast. The polarimetric image is more effective for metal surface inspection than the traditional intensity image.