| Correlation analysis-based image segmentation approach for automatic agriculture vehicle |
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| 作者姓名： | 张方明 应义斌 蒋焕煜 SHIN Beom-soo |
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| 作者单位： | School of Biosystem Engineering and Food Science，Zhejiang University，Hangzhou 310029，China，School of Biosystem Engineering and Food Science，Zhejiang University，Hangzhou 310029，China，School of Biosystem Engineering and Food Science，Zhejiang University，Hangzhou 310029，China，Department of Biological System Engineering，Kangwon National University，Chunchon，Korea |
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| 基金项目： | 国家自然科学基金，KOSEF (Korea Science Engineering Foundation)Scientific Cooperation Program，国家自然科学基金 |
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| 摘 要： | INTRODUCTION In recent years,harvesting crop by combine has become more and more popular in China.In2003,combines were used to harvest23%of rice and71%of wheat.The work described here is part of a pro-ject aimed at researching automatic combines who follow the cut-uncut edge of the crops automatically to reduce the driver’s fatigue from the intensive work.Much attention has been focused on vision-bas-ed automatic agriculture vehicle.Image segmenta-tion is the key to extracting the guida…
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| 关 键 词： | 图象分割 相关性分析 自动算法 图象处理 图象片段 |
| 收稿时间： | 2004-08-18 |
| 修稿时间： | 2005-03-21 |
Correlation analysis-based image segmentation approach for automatic agriculture vehicle |
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| Zhang Fang-ming,Ying Yi-bin,Jiang Huan-yu,Shin Beom-soo.Correlation analysis-based image segmentation approach for automatic agriculture vehicle[J].Journal of Zhejiang University Science,2005,6(10):1158-1162. |
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| Authors: | Zhang Fang-ming Ying Yi-bin Jiang Huan-yu Shin Beom-soo |
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| Institution: | (1) School of Biosystem Engineering and Food Science, Zhejiang University, 310029 Hangzhou, China;(2) Department of Biological System Engineering, Kangwon National University, Chunchon, Korea |
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| Abstract: | It is important to segment image correctly to extract guidance information for automatic agriculture vehicle. If we can make the computer know where the crops are, we can extract the guidance line easily. Images were divided into some rectangle small windows, then a pair of 1-D arrays was constructed in each small windows. The correlation coefficients of every small window constructed the features to segment images. The results showed that correlation analysis is a potential approach for processing complex farmland for guidance system, and more correlation analysis methods must be researched. |
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| Keywords: | Image segmentation Machine vision Correlation analysis Guidance |
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