| 自然环境下桃子图像分割算法 |
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| 引用本文： | 赵晓霞,张铁中,陈兵旗,乔军,杨会华. 自然环境下桃子图像分割算法[J]. 农机化研究, 2009, 31(2) |
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| 作者姓名： | 赵晓霞 张铁中 陈兵旗 乔军 杨会华 |
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| 作者单位： | 中国农业大学工学院,北京,100083;中国农业大学网络中心,北京,100083 |
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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： | 成熟果实的识别是果蔬采摘机器人视觉系统的关键问题,要解决该问题,首先需要进行有效的图像分割.从复杂背景中分离果实一直是该领域的一个难题.为此,针对自然环境下的桃子图像进行了图像分割方法的研究.利用2R-G-B和L*a*b*的a*分量以及HSI的H分量分别对彩色图像进行了3种方法的灰度化处理,然后采用大津法对灰度图像进行了二值化处理,对二值化图像采用匹配去噪与匹配膨胀相结合的方法,去除了复杂背景噪声.试验表明,所提出的桃子分割方法具有很好的分割效果.
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| 关 键 词： | 桃子采摘 图像分割 匹配去噪 匹配膨胀 |
Study on the Segmentation Algorithm for Peach in Natural Scene |
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| Zhao Xiaoxia,Zhang Tiezhong,Chen Bingqi,Qiao Jun,Yang Huihua. Study on the Segmentation Algorithm for Peach in Natural Scene[J]. Journal of Agricultural Mechanization Research, 2009, 31(2) |
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| Authors: | Zhao Xiaoxia Zhang Tiezhong Chen Bingqi Qiao Jun Yang Huihua |
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| Affiliation: | China Agricultural University;a.College of Engineering;b.Network Center;Beijing 100083;China |
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| Abstract: | The recognition of mature fruits is a key problem to fruit and vegetable harvesting robots. To solve this question,effective image segmentation is the first step. Segmenting fruits from the complex background has been a difficult problem in this field. In this paper,segmentation methods of peach images were studied. First,translate the color images to gray images by the values of 2R-B-G,the a* channel in L*a*b* color model and the H channel in HSI color model respectively. Then segment the gray images by Ot... |
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| Keywords: | peach picking image segmentation matching denoise matching expansion |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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