{"title":"基于OpenCV的玉米晶粒形态检测软件实现","authors":"Sun Jin, H. Zedong, L. Yuan","doi":"10.1109/ICEMI.2017.8265837","DOIUrl":null,"url":null,"abstract":"Morphological parameters of Corn grain are indexes that always been concerned by researchers in field of crop cultivation and breeding. In this article, Microsoft Visual Studio 2008 was slected as development tools, with the open source computer vision library (OpenCV2.3.1), we combined the image processing with analysis technology, and designed the testing system for morphological of Corn grain. Firstly, we used basler industrial camera to captured image of Corn grain, and pre-processed the image, then ellipsed fitting on the image of corn grain and determined the tip position of corn grain. Finally, output the results. In this paper, Software implementation of corn grain morphology detection based on Open CV can provide some reference for other biomass granule morphology research.","PeriodicalId":275568,"journal":{"name":"2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Software implementation of corn grain morphology detection based on OpenCV\",\"authors\":\"Sun Jin, H. Zedong, L. Yuan\",\"doi\":\"10.1109/ICEMI.2017.8265837\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Morphological parameters of Corn grain are indexes that always been concerned by researchers in field of crop cultivation and breeding. In this article, Microsoft Visual Studio 2008 was slected as development tools, with the open source computer vision library (OpenCV2.3.1), we combined the image processing with analysis technology, and designed the testing system for morphological of Corn grain. Firstly, we used basler industrial camera to captured image of Corn grain, and pre-processed the image, then ellipsed fitting on the image of corn grain and determined the tip position of corn grain. Finally, output the results. In this paper, Software implementation of corn grain morphology detection based on Open CV can provide some reference for other biomass granule morphology research.\",\"PeriodicalId\":275568,\"journal\":{\"name\":\"2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEMI.2017.8265837\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEMI.2017.8265837","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
摘要
玉米籽粒形态参数一直是作物栽培育种领域研究人员关注的指标。本文选择Microsoft Visual Studio 2008作为开发工具,借助开源计算机视觉库(OpenCV2.3.1),将图像处理与分析技术相结合,设计了玉米籽粒形态检测系统。首先利用basler工业相机采集玉米颗粒图像,对图像进行预处理,然后对玉米颗粒图像进行椭圆拟合,确定玉米颗粒的尖端位置。最后,输出结果。本文通过软件实现基于Open CV的玉米颗粒形态检测,可以为其他生物质颗粒形态研究提供一定的参考。
Software implementation of corn grain morphology detection based on OpenCV
Morphological parameters of Corn grain are indexes that always been concerned by researchers in field of crop cultivation and breeding. In this article, Microsoft Visual Studio 2008 was slected as development tools, with the open source computer vision library (OpenCV2.3.1), we combined the image processing with analysis technology, and designed the testing system for morphological of Corn grain. Firstly, we used basler industrial camera to captured image of Corn grain, and pre-processed the image, then ellipsed fitting on the image of corn grain and determined the tip position of corn grain. Finally, output the results. In this paper, Software implementation of corn grain morphology detection based on Open CV can provide some reference for other biomass granule morphology research.