| 基于色调的黄粒米检测方法 |
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| 引用本文： | 孙明,王一鸣,凌云,张小超.基于色调的黄粒米检测方法[J].农业机械学报,2005,36(8):78-81. |
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| 作者姓名： | 孙明 王一鸣 凌云 张小超 |
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| 作者单位： | 中国农业大学信息与电气工程学院;中国农业机械化科学研究院 |
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| 基金项目： | 教育部留学回国人员科研启动基金资助项目（项目编号：230222001）和“九五”国家科技攻关计划资助项目（项目编号：99-010-01-12） |
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| 摘 要： | 提出了一种基于色调的黄粒米检测算法。通过对标准米和黄粒米图像色调直方图的分析和研究，提出了以黄色区域的频度均值作为特征参数，区分标准米和黄粒米。研究结果表明，该算法的识别精度大于90％，可以有效地检测黄粒米。
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| 关 键 词： | 大米 图像处理 机器视觉 |
| 收稿时间： | 03 11 2004 12:00AM |
| 修稿时间： | 2004年3月11日 |
A Hue Based Detecting Approach to Yellow Rice Kernel |
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| Sun Ming,Wang Yiming,Ling Yun,Zhang Xiaochao.A Hue Based Detecting Approach to Yellow Rice Kernel[J].Transactions of the Chinese Society of Agricultural Machinery,2005,36(8):78-81. |
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| Authors: | Sun Ming Wang Yiming Ling Yun Zhang Xiaochao |
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| Institution: | 1.China Agricultural University 2.Chinese Academy of Agricultural Mechanization Sciences |
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| Abstract: | A new algorithm based on hue was developed, which could be used for detecting and classifying yellow rice kernels. The mean of pixel numbers in rice particle area, which represents yellow color, was selected as a color criterion to distinguish yellow rice kernels from the standard ones by comparison of these two kinds of rice images with a hue histograms. The experimental results showed that the detection accuracy is higher than 90% by using this method. |
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| Keywords: | Rice Image processing Machine vision |
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