Ke Huang, Guangyuan Yang, Shenghua Zhang, Zheming Li, Hu Li, Xuebin Jiang, Wenting Liu, Wenfeng Liu, Bo Wang, Xin Yan, Weiguo Lin
{"title":"基于三维数字孪生技术的卷烟滤嘴杆结构特征数字化重塑研究","authors":"Ke Huang, Guangyuan Yang, Shenghua Zhang, Zheming Li, Hu Li, Xuebin Jiang, Wenting Liu, Wenfeng Liu, Bo Wang, Xin Yan, Weiguo Lin","doi":"10.1117/12.3014423","DOIUrl":null,"url":null,"abstract":"(1) Background: To improve the quality control ability of cigarette characteristic cigarette filter rods, build the filter rod structure database of cigarette products, and accelerate the Digital transformation of filter rod platform technology research and development, this study proposed a research method for digital remodeling of cigarette structure.; (2) Methods: Firstly, image acquisition of the cigarette filter rod end face is carried out by combining a color area-array camera, telecentric lens, and coaxial light source to form an area-array camera testing environment; By combining a line scanning camera with a coaxial light source and a point light source, the surface of the cigarette filter is photographed and the point light source transmittance is detected; Simultaneously combining 3D laser camera scanners to establish the contour of the target; (3) Results: By using the above methods, the detection images of four types of filter rods were processed to obtain HSV image curves, grayscale images, and color histograms. These images were used for 3D model reconstruction and 15 3D feature maps were obtained; (4) Conclusions: The reconstructed 15 3D images can accurately distinguish four different filter rods, and this method can provide a reference for real-time detection during cigarette filter rod processing.","PeriodicalId":516634,"journal":{"name":"International Conference on Algorithm, Imaging Processing and Machine Vision (AIPMV 2023)","volume":"91 3","pages":"1296920 - 1296920-8"},"PeriodicalIF":0.0000,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on digital remodeling of structural features of cigarette filter rod based on 3D digital twin technology\",\"authors\":\"Ke Huang, Guangyuan Yang, Shenghua Zhang, Zheming Li, Hu Li, Xuebin Jiang, Wenting Liu, Wenfeng Liu, Bo Wang, Xin Yan, Weiguo Lin\",\"doi\":\"10.1117/12.3014423\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"(1) Background: To improve the quality control ability of cigarette characteristic cigarette filter rods, build the filter rod structure database of cigarette products, and accelerate the Digital transformation of filter rod platform technology research and development, this study proposed a research method for digital remodeling of cigarette structure.; (2) Methods: Firstly, image acquisition of the cigarette filter rod end face is carried out by combining a color area-array camera, telecentric lens, and coaxial light source to form an area-array camera testing environment; By combining a line scanning camera with a coaxial light source and a point light source, the surface of the cigarette filter is photographed and the point light source transmittance is detected; Simultaneously combining 3D laser camera scanners to establish the contour of the target; (3) Results: By using the above methods, the detection images of four types of filter rods were processed to obtain HSV image curves, grayscale images, and color histograms. These images were used for 3D model reconstruction and 15 3D feature maps were obtained; (4) Conclusions: The reconstructed 15 3D images can accurately distinguish four different filter rods, and this method can provide a reference for real-time detection during cigarette filter rod processing.\",\"PeriodicalId\":516634,\"journal\":{\"name\":\"International Conference on Algorithm, Imaging Processing and Machine Vision (AIPMV 2023)\",\"volume\":\"91 3\",\"pages\":\"1296920 - 1296920-8\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Algorithm, Imaging Processing and Machine Vision (AIPMV 2023)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.3014423\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Algorithm, Imaging Processing and Machine Vision (AIPMV 2023)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.3014423","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on digital remodeling of structural features of cigarette filter rod based on 3D digital twin technology
(1) Background: To improve the quality control ability of cigarette characteristic cigarette filter rods, build the filter rod structure database of cigarette products, and accelerate the Digital transformation of filter rod platform technology research and development, this study proposed a research method for digital remodeling of cigarette structure.; (2) Methods: Firstly, image acquisition of the cigarette filter rod end face is carried out by combining a color area-array camera, telecentric lens, and coaxial light source to form an area-array camera testing environment; By combining a line scanning camera with a coaxial light source and a point light source, the surface of the cigarette filter is photographed and the point light source transmittance is detected; Simultaneously combining 3D laser camera scanners to establish the contour of the target; (3) Results: By using the above methods, the detection images of four types of filter rods were processed to obtain HSV image curves, grayscale images, and color histograms. These images were used for 3D model reconstruction and 15 3D feature maps were obtained; (4) Conclusions: The reconstructed 15 3D images can accurately distinguish four different filter rods, and this method can provide a reference for real-time detection during cigarette filter rod processing.