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ZJUS-A
Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2005, Vol. 6 Issue (10): 25-    DOI: 10.1631/jzus.2005.A1158
    
Correlation analysis-based image segmentation approach for automatic agriculture vehicle
ZHANG Fang-ming, YING Yi-bin, JIANG Huan-yu, SHIN Beom-soo
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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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.

Key words： Image segmentation      Machine vision      Correlation analysis      Guidance     
Received: 18 August 2004     
CLC:  TP391.4  
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ZHANG Fang-ming
YING Yi-bin
JIANG Huan-yu
SHIN Beom-soo
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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. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2005, 6(10): 25-.

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http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.2005.A1158     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2005/V6/I10/25

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