| 基于纹理和位置特征的麦田杂草识别方法 |
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| 引用本文： | 曹晶晶,王一鸣,毛文华,张小超.基于纹理和位置特征的麦田杂草识别方法[J].农业机械学报,2007,38(4):107-110. |
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| 作者姓名： | 曹晶晶 王一鸣 毛文华 张小超 |
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| 作者单位： | 1. 中国农业大学信息与电气工程学院,100083,北京市
2. 中国农业机械化科学研究院,100083,北京市 |
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| 基金项目： | 国家高技术研究发展计划(863计划) |
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| 摘 要： | 以化学防除适期麦田杂草为研究对象，对利用条播作物的位置和纹理特征识别田间杂草的方法进行了研究。根据条播作物小麦作物行的间距相对固定等位置特征，利用植物像素直方图法确定作物行的中心线和行宽，并识别行间杂草。然后，以作物行中心为基准来选取纹理块，计算量化级数为8级的H颜色空间的共生矩阵，提取5个纹理特征参数，利用K均值聚类法判别分析各块的类别来识别行内杂草。研究结果表明，杂草的正确识别率约为93％，作物的错误识别率约为7％。
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| 关 键 词： | 杂草识别 纹理特征 颜色共生矩阵 位置特征 |
| 收稿时间： | 2005-05-26 |
| 修稿时间： | 05 26 2005 12:00AM |
Weed Detection Method in Wheat Field Based on Texture and Position Features |
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| Cao Jingjing,Wang Yiming,Mao Wenhua,Zhang Xiaochao.Weed Detection Method in Wheat Field Based on Texture and Position Features[J].Transactions of the Chinese Society of Agricultural Machinery,2007,38(4):107-110. |
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| Authors: | Cao Jingjing Wang Yiming Mao Wenhua Zhang Xiaochao |
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| Institution: | 1.China Agricultural University 2.Chinese Academy of Agricultural Mechanization Sciences |
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| Abstract: | Take the weeds in wheat fields as the research object, a method of weed detection by using the texture and position features was studied. According to the position feature of drilled crops that were regularly sown as a constant row space, the pixel-histogram method was used to determine the central line and the width of crop row. As a result, weeds between crop rows were detected. Moreover, the block of texture was selected on the basis of the central line of crop row. The co-occurrence matrixes of the H color space that was quantified 8 levels were computed. Based on that, five texture parameters were extracted. Then, the K-means clustering method was used to recognize weeds within crop rows. The result of research showed that the correct classification of weeds was 93% and the mistake classification of crops was 7%. |
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| Keywords: | Weed detection Texture feature Color co-occurrence matrix Position feature |
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