{"title":"基于FPGA的马赛克线扫描相机设计","authors":"Hupei Xia, Xinyan Su, Peizhen Liu, Bin Liu","doi":"10.1109/ICIS.2014.6912176","DOIUrl":null,"url":null,"abstract":"According to the problem that single line-scan camera loss of light in the edge of the sensor when the field of view is large, this paper presents a design of mosaic camera based on FPGA. Using the method of putting multiple cameras arranged in a straight line to share the field of view and reduce the view angle of every camera. Then, in view of the practical application of detecting doping micro particles, the paper designed a detection algorithm of the target's location in the FPGA. Finally, the practicability and stability of the system were validated experimentally. The results of the experiment show: The camera imaging clearly, edge light loss is little and can accurately distinguish between target and background.","PeriodicalId":237256,"journal":{"name":"2014 IEEE/ACIS 13th International Conference on Computer and Information Science (ICIS)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A design of mosaic line-scan camera based on FPGA\",\"authors\":\"Hupei Xia, Xinyan Su, Peizhen Liu, Bin Liu\",\"doi\":\"10.1109/ICIS.2014.6912176\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"According to the problem that single line-scan camera loss of light in the edge of the sensor when the field of view is large, this paper presents a design of mosaic camera based on FPGA. Using the method of putting multiple cameras arranged in a straight line to share the field of view and reduce the view angle of every camera. Then, in view of the practical application of detecting doping micro particles, the paper designed a detection algorithm of the target's location in the FPGA. Finally, the practicability and stability of the system were validated experimentally. The results of the experiment show: The camera imaging clearly, edge light loss is little and can accurately distinguish between target and background.\",\"PeriodicalId\":237256,\"journal\":{\"name\":\"2014 IEEE/ACIS 13th International Conference on Computer and Information Science (ICIS)\",\"volume\":\"51 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-06-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE/ACIS 13th International Conference on Computer and Information Science (ICIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIS.2014.6912176\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE/ACIS 13th International Conference on Computer and Information Science (ICIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIS.2014.6912176","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
According to the problem that single line-scan camera loss of light in the edge of the sensor when the field of view is large, this paper presents a design of mosaic camera based on FPGA. Using the method of putting multiple cameras arranged in a straight line to share the field of view and reduce the view angle of every camera. Then, in view of the practical application of detecting doping micro particles, the paper designed a detection algorithm of the target's location in the FPGA. Finally, the practicability and stability of the system were validated experimentally. The results of the experiment show: The camera imaging clearly, edge light loss is little and can accurately distinguish between target and background.