{"title":"基于RGB色彩空间的油菜图像自动分割方法研究","authors":"Lipin Tan, Yu-tian Li","doi":"10.1109/CISCE50729.2020.00092","DOIUrl":null,"url":null,"abstract":"Automatic segmentation of plant images is an important step in the research on rape and weed recognition system. In order to overcome the shortcomings of traditional threshold method in rape gray image segmentation, an automatic segmentation method based on RGB color space was proposed. In RGB color space, the G component of vegetation is dominant, and the R component of soil background is dominant. A method combining G-0.8R color index with 0 threshold is proposed to segment rape image. Compared with traditional methods, this method has better segmentation effect and shorter processing time, which meets the real-time requirements of rape and weed identification system. Morphological operations and other denoising methods can further improve the image quality.","PeriodicalId":101777,"journal":{"name":"2020 International Conference on Communications, Information System and Computer Engineering (CISCE)","volume":"77 10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Research on Rape Image Automatic Segmentation Method Based on RGB Color Space\",\"authors\":\"Lipin Tan, Yu-tian Li\",\"doi\":\"10.1109/CISCE50729.2020.00092\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Automatic segmentation of plant images is an important step in the research on rape and weed recognition system. In order to overcome the shortcomings of traditional threshold method in rape gray image segmentation, an automatic segmentation method based on RGB color space was proposed. In RGB color space, the G component of vegetation is dominant, and the R component of soil background is dominant. A method combining G-0.8R color index with 0 threshold is proposed to segment rape image. Compared with traditional methods, this method has better segmentation effect and shorter processing time, which meets the real-time requirements of rape and weed identification system. Morphological operations and other denoising methods can further improve the image quality.\",\"PeriodicalId\":101777,\"journal\":{\"name\":\"2020 International Conference on Communications, Information System and Computer Engineering (CISCE)\",\"volume\":\"77 10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference on Communications, Information System and Computer Engineering (CISCE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CISCE50729.2020.00092\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Communications, Information System and Computer Engineering (CISCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISCE50729.2020.00092","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Rape Image Automatic Segmentation Method Based on RGB Color Space
Automatic segmentation of plant images is an important step in the research on rape and weed recognition system. In order to overcome the shortcomings of traditional threshold method in rape gray image segmentation, an automatic segmentation method based on RGB color space was proposed. In RGB color space, the G component of vegetation is dominant, and the R component of soil background is dominant. A method combining G-0.8R color index with 0 threshold is proposed to segment rape image. Compared with traditional methods, this method has better segmentation effect and shorter processing time, which meets the real-time requirements of rape and weed identification system. Morphological operations and other denoising methods can further improve the image quality.