CLC number: TP391.4
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 0000-00-00
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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 A, 2005, 6(10): 1158-1162.
@article{title="Correlation analysis-based image segmentation approach for automatic agriculture vehicle",
author="ZHANG Fang-ming, YING Yi-bin, JIANG Huan-yu, SHIN Beom-soo",
journal="Journal of Zhejiang University Science A",
volume="6",
number="10",
pages="1158-1162",
year="2005",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2005.A1158"
}
%0 Journal Article
%T Correlation analysis-based image segmentation approach for automatic agriculture vehicle
%A ZHANG Fang-ming
%A YING Yi-bin
%A JIANG Huan-yu
%A SHIN Beom-soo
%J Journal of Zhejiang University SCIENCE A
%V 6
%N 10
%P 1158-1162
%@ 1673-565X
%D 2005
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2005.A1158
TY - JOUR
T1 - Correlation analysis-based image segmentation approach for automatic agriculture vehicle
A1 - ZHANG Fang-ming
A1 - YING Yi-bin
A1 - JIANG Huan-yu
A1 - SHIN Beom-soo
J0 - Journal of Zhejiang University Science A
VL - 6
IS - 10
SP - 1158
EP - 1162
%@ 1673-565X
Y1 - 2005
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2005.A1158
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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