{"title":"基于双线性映射的层板校正算法研究","authors":"Haiou Guan, Shaohua Xu","doi":"10.1109/WGEC.2009.128","DOIUrl":null,"url":null,"abstract":"This paper proposes the correction algorithm of lamina based on bilinear mapping aimed at the problems of image incline and geometric distortion when collecting field lamina images using digital camera. The validity of measurement has not been influenced by size, figure differentia and white background of laminae. The experiment shows that the accuracy can reach to 99% when using this method to correct the lamina image, which is the basement of extracting the lamina features.","PeriodicalId":277950,"journal":{"name":"2009 Third International Conference on Genetic and Evolutionary Computing","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Investigation on the Correction Algorithm of Lamina Based on Bilinear Mapping\",\"authors\":\"Haiou Guan, Shaohua Xu\",\"doi\":\"10.1109/WGEC.2009.128\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes the correction algorithm of lamina based on bilinear mapping aimed at the problems of image incline and geometric distortion when collecting field lamina images using digital camera. The validity of measurement has not been influenced by size, figure differentia and white background of laminae. The experiment shows that the accuracy can reach to 99% when using this method to correct the lamina image, which is the basement of extracting the lamina features.\",\"PeriodicalId\":277950,\"journal\":{\"name\":\"2009 Third International Conference on Genetic and Evolutionary Computing\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-10-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Third International Conference on Genetic and Evolutionary Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WGEC.2009.128\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Third International Conference on Genetic and Evolutionary Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WGEC.2009.128","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Investigation on the Correction Algorithm of Lamina Based on Bilinear Mapping
This paper proposes the correction algorithm of lamina based on bilinear mapping aimed at the problems of image incline and geometric distortion when collecting field lamina images using digital camera. The validity of measurement has not been influenced by size, figure differentia and white background of laminae. The experiment shows that the accuracy can reach to 99% when using this method to correct the lamina image, which is the basement of extracting the lamina features.
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