| 基于图像处理的植物叶特征提取研究现状 |
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| 引用本文： | 郑小东,王晓洁.基于图像处理的植物叶特征提取研究现状[J].农机化研究,2007(8):193-195. |
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| 作者姓名： | 郑小东 王晓洁 |
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| 作者单位： | 1. 郑州航空工业管理学院,计算机科学与应用系,郑州,450015
2. 郑州大学,机械工程学院,郑州,450015 |
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| 摘 要： | 通过对植物叶特征的分析,可以确定植物的种类和生长状态,对于植物研究、指导生产等具有重要意义.传统的叶特征提取方法都是通过人的手工操作完成的,效率较低,而当前可以借助于图像处理技术对叶特征进行自动提取.为此,对基于图像处理的叶特征提取研究现状进行了综述,并对其做了展望.
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| 关 键 词： | 农艺学 叶特征提取 综述 图像处理 机器视觉 图像处理 植物叶 特征提取 植物研究 现状 Image Processing Based Leaf Plant Feature Extraction 自动提取 处理技术 效率 手工操作 方法 意义 指导生产 生长状态 种类 分析 |
| 文章编号： | 1003-188X（2007）08-0193-03 |
| 收稿时间： | 2006-11-22 |
| 修稿时间： | 2006-11-22 |
Review of Feature Extraction for Plant Leaf Based on Image Processing |
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| ZHENG Xiao-dong,WANG Xiao-jie.Review of Feature Extraction for Plant Leaf Based on Image Processing[J].Journal of Agricultural Mechanization Research,2007(8):193-195. |
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| Authors: | ZHENG Xiao-dong WANG Xiao-jie |
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| Institution: | 1. Department of Computer Science and Application, Zhengzhou Institute of Aeronautical Industry Management, Zhengzhou 450015,China; 2.School of Mechanical Engineering, Zhengzhou University, Zhengzhou 450015, China |
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| Abstract: | The category and growth status could be revealed of plant after feature analysis for plant leaf, which is significant to plant research and production guidance for agriculture and forestry. Traditional methods of feature extraction are almost conducted by hand and have low efficiency. Image processing technology may be used as an effective tool to extract leaf feature automatically. In this paper a review is conducted of research on plant leaf feature extraction based on image processing and Some advice is presented. |
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| Keywords: | agronomy feature extraction of leaf summary image processing machine vision |
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