| 基于图像处理的杂草叶片识别参数研究 |
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| 引用本文： | 吴国瑞,朱瑞祥.基于图像处理的杂草叶片识别参数研究[J].农机化研究,2009,31(5). |
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| 作者姓名： | 吴国瑞 朱瑞祥 |
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| 作者单位： | 西北农林科技大学,机电学院,陕西,杨凌,712100 |
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| 摘 要： | 杂草种类繁多、危害严重,对杂草种类进行精确识别,可以提高除草效率,减少除草剂使用量,降低其对环境的污染.为此,应用图像处理的有关技术,以杂草叶片为研究对象,以形态、纹理和颜色特征相结合的方法来描述杂草叶片信息,提出了共16个特征参数可对杂草叶片信息进行精确描述,该特征参数可区别不同种类的杂草,为农药的精确投放和现代施药装备的开发奠定基础.
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| 关 键 词： | 杂草 图像处理 杂草识别 特征参数 |
Research Recognition Parameter of Weed Leaf Based on Image Processing |
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| Wu Guorui,Zhu Ruixiang.Research Recognition Parameter of Weed Leaf Based on Image Processing[J].Journal of Agricultural Mechanization Research,2009,31(5). |
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| Authors: | Wu Guorui Zhu Ruixiang |
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| Institution: | College of Mechanical and Electrical Engineering;Northwest A&F University;Yangling 712100;China |
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| Abstract: | The weed is of great variety,and dose great harm to the crop.Aiming at precise recognition of the weed,further more raising the weeding efficiency,reducing the use of herbicide,and decreasing the pollution to the environment,this research adopted the technology of image processing,making weed leaf the object being studied,and combining the shape,texture and the color to describe information of the weed leaves.Totally 16 characteristic parameters were proposed in the paper to distinguish the different weed e... |
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| Keywords: | weed image processing pattern recognition characteristic parameter |
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