Zhang Xiuhua, Jiao Renbao, Chen Siyu, J. Yongcheng, L. Xiaomin
{"title":"病害叶斑病图像预处理技术研究","authors":"Zhang Xiuhua, Jiao Renbao, Chen Siyu, J. Yongcheng, L. Xiaomin","doi":"10.1109/ICSGEA.2018.00051","DOIUrl":null,"url":null,"abstract":"In this paper, the pretreatment technology of leaf image was studied. Firstly, the camera was used to collect the leaf; Then the image was analyzed in data format to realize the gray scale transformation. Finally, the image was filtered through the median vector to eliminate noise. The results show that the image was achieved the required effect by the pretreatment of the process.","PeriodicalId":445324,"journal":{"name":"2018 International Conference on Smart Grid and Electrical Automation (ICSGEA)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Study on Pretreatment Technology of Image of Disease Leaf Spot\",\"authors\":\"Zhang Xiuhua, Jiao Renbao, Chen Siyu, J. Yongcheng, L. Xiaomin\",\"doi\":\"10.1109/ICSGEA.2018.00051\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the pretreatment technology of leaf image was studied. Firstly, the camera was used to collect the leaf; Then the image was analyzed in data format to realize the gray scale transformation. Finally, the image was filtered through the median vector to eliminate noise. The results show that the image was achieved the required effect by the pretreatment of the process.\",\"PeriodicalId\":445324,\"journal\":{\"name\":\"2018 International Conference on Smart Grid and Electrical Automation (ICSGEA)\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Smart Grid and Electrical Automation (ICSGEA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSGEA.2018.00051\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Smart Grid and Electrical Automation (ICSGEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSGEA.2018.00051","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Study on Pretreatment Technology of Image of Disease Leaf Spot
In this paper, the pretreatment technology of leaf image was studied. Firstly, the camera was used to collect the leaf; Then the image was analyzed in data format to realize the gray scale transformation. Finally, the image was filtered through the median vector to eliminate noise. The results show that the image was achieved the required effect by the pretreatment of the process.