{"title":"基于改进灰色质心法的线性结构光条中心提取算法","authors":"Hongtao Yang, Zhen Wang, Weibo Yu, Peng Zhang","doi":"10.1109/CCDC52312.2021.9602635","DOIUrl":null,"url":null,"abstract":"In the online structured light 3D vision measurement, the most important step is the extraction of the laser stripe center. Due to the roughness of the detected object and the light source and other factors affect the precision of the linear structured light stripe center, an improved algorithm which can detection of laser fringe center based on gray barycentric method is proposed. The algorithm uses adaptive threshold segmentation method to extract strip targets, extract the skeleton of the target stripe by thinning method, use template method to detect the normal direction of laser stripes. Finally, using the gray barycentric method to accurately extract the laser center. It has been verified that the algorithm has the characteristics of high extraction accuracy, short running time and good stability.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"189 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Center Extraction Algorithm of Linear Structured Light Stripe Based on Improved Gray Barycenter Method\",\"authors\":\"Hongtao Yang, Zhen Wang, Weibo Yu, Peng Zhang\",\"doi\":\"10.1109/CCDC52312.2021.9602635\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the online structured light 3D vision measurement, the most important step is the extraction of the laser stripe center. Due to the roughness of the detected object and the light source and other factors affect the precision of the linear structured light stripe center, an improved algorithm which can detection of laser fringe center based on gray barycentric method is proposed. The algorithm uses adaptive threshold segmentation method to extract strip targets, extract the skeleton of the target stripe by thinning method, use template method to detect the normal direction of laser stripes. Finally, using the gray barycentric method to accurately extract the laser center. It has been verified that the algorithm has the characteristics of high extraction accuracy, short running time and good stability.\",\"PeriodicalId\":143976,\"journal\":{\"name\":\"2021 33rd Chinese Control and Decision Conference (CCDC)\",\"volume\":\"189 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-05-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 33rd Chinese Control and Decision Conference (CCDC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCDC52312.2021.9602635\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 33rd Chinese Control and Decision Conference (CCDC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCDC52312.2021.9602635","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Center Extraction Algorithm of Linear Structured Light Stripe Based on Improved Gray Barycenter Method
In the online structured light 3D vision measurement, the most important step is the extraction of the laser stripe center. Due to the roughness of the detected object and the light source and other factors affect the precision of the linear structured light stripe center, an improved algorithm which can detection of laser fringe center based on gray barycentric method is proposed. The algorithm uses adaptive threshold segmentation method to extract strip targets, extract the skeleton of the target stripe by thinning method, use template method to detect the normal direction of laser stripes. Finally, using the gray barycentric method to accurately extract the laser center. It has been verified that the algorithm has the characteristics of high extraction accuracy, short running time and good stability.