| 基于颜色特征的棉田绿色杂草图像识别方法 |
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| 引用本文： | 沈宝国,陈树人,尹建军,毛罕平.基于颜色特征的棉田绿色杂草图像识别方法[J].农业工程学报,2009,25(6):163-167. |
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| 作者姓名： | 沈宝国 陈树人 尹建军 毛罕平 |
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| 作者单位： | 1. 江苏大学现代农业装备与技术省部共建教育部重点实验室,镇江,212013;镇江机电高等职业技术学校,镇江,212003
2. 江苏大学现代农业装备与技术省部共建教育部重点实验室,镇江,212013 |
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| 基金项目： | 镇江市农业科技计划项目（GJ2008008）；江苏省博士后科研资助计划（0601014B） |
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| 摘 要： | 为实现棉田精确喷洒除草剂的自动化作业，该文基于颜色特征开展棉田中绿色杂草与棉苗的自动识别研究。利用苗期棉花茎秆呈暗红色的特点，首先使用Otsu法对所获图像的超红特征灰度图像和超绿特征灰度图像进行动态阈值分割，分别获取棉苗茎秆和绿色植物的二值图像。然后从棉苗茎秆二值图像中提取棉苗茎秆坐标，将棉苗茎秆与绿色植物二值图像进行位置信息融合，确定绿色植物二值图像中的棉苗区域，从而识别出各个绿色杂草区域并确定其区域质心和面积。通过15幅棉田绿色杂草图像进行试验表明，在棉苗茎秆不被叶片遮挡以及棉苗和杂草间不出现重叠的情况下，绿色杂草可以完全识别，棉苗的识别率可达到74%以上。
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| 关 键 词： | 图像识别，图像融合，颜色特征，杂草 |
| 收稿时间： | 9/8/2008 12:00:00 AM |
| 修稿时间： | 2009/1/28 0:00:00 |
Image recognition of green weeds in cotton fields based on color feature |
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| Shen Baoguo,Chen Shuren,Yin Jianjun and Mao Hanping.Image recognition of green weeds in cotton fields based on color feature[J].Transactions of the Chinese Society of Agricultural Engineering,2009,25(6):163-167. |
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| Authors: | Shen Baoguo Chen Shuren Yin Jianjun and Mao Hanping |
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| Institution: | 1.Key Laboratory of Modern Agricultural Equipment and Technology;Ministry of Education&Jiangsu Province;Jiangsu University;Zhenjiang 212013;China;2.Zhenjiang Vocational College of Mechanical&Electrical Technology;China |
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| Abstract: | In order to realize automation of herbicide spraying precisely in cotton fields,the research on automatic recognition green weeds from cotton fields was developed based on color feature.The cotton seedling stem's dark red feature was considered mainly.Firstly,the gray images of excess red feature and excess green feature were processed by Otsu's threshold method,and cotton seedling stem's and green plants'binary images were gained respectively.Secondly, cotton seedling stem's coordinates were extracted from... |
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| Keywords: | image recognition image fusion color feature weed |
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