| 利用计算机视觉对苗木自动分级的研究 |
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| 引用本文： | 杨延竹,赵学增,王伟杰,吴羡.利用计算机视觉对苗木自动分级的研究[J].林业研究,2002,13(3):245-249. |
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| 作者姓名： | 杨延竹 赵学增 王伟杰 吴羡 |
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| 作者单位： | 哈尔滨工业大学 哈尔滨150001
(杨延竹，赵学增，王伟杰)，哈尔滨工业大学 哈尔滨150001(吴羡) |
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| 基金项目： | This paper was supported by National Natural Science Foundation of China (Grant No. 39670607). |
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| 摘 要： | 苗木分级是提高造林苗木成活率的一个重要手段,对植树造林、绿化环境有十分重要的意义。本文在对目前苗木自动分级文献理解和综合的基础上,首先通过对苗木分级技术和分级理论的研究,揭示了自动分级技术的发展背景和理论基础。进而对苗木形态参数的光电测量和计算机视觉测量等自动测量方法进行了分析和研究,阐述了现有的苗木自动分级系统所采用的分级理论和方法,并对其性能进行了概要的评述。最后,基于对苗木自动分级问题的理解,提出了苗木自动分级方法的一些展望。参31。
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| 关 键 词： | 苗木分级 自动 形态特征 计算机视觉 |
| 收稿时间： | 26 December 2001 |
Review on the proceeding of automatic seedlings classification by computer vision |
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| Yang Yan-zhu,Zhao Xue-zeng,Wang Wei-jie,Wu Xian.Review on the proceeding of automatic seedlings classification by computer vision[J].Journal of Forestry Research,2002,13(3):245-249. |
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| Authors: | Yang Yan-zhu Zhao Xue-zeng Wang Wei-jie Wu Xian |
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| Institution: | (1) Harbin Institute of Technology, 150001 Harbin, P. R. China |
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| Abstract: | The classification of seedlings is important to ensure the viability of seedlings after transplantation and is acknowledged as a key factor in forestation and environmental improvement. Based on numerous papers on automatic seedling classification (ASC), the seedling grading theory, traditional grading methods, the background and the proceeding of ASC techniques are described. The automation of the measurement of seedling morphological characteristics by photoelectric meters and computer vision is studied, and the automatic methods of the current grading systems are described respectively. And the further researches on ASC by computer vision are proposed. |
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| Keywords: | Seedlings classification Automation Morphological characteristic Computer vision |
| 本文献已被 CNKI 维普 万方数据 SpringerLink 等数据库收录！ |
