Full Text:   <1426>

CLC number: TP391.4

On-line Access: 

Received: 2004-08-18

Revision Accepted: 2005-03-21

Crosschecked: 0000-00-00

Cited: 0

Clicked: 4058

Citations:  Bibtex RefMan EndNote GB/T7714

-   Go to

Article info.
1. Reference List
Open peer comments

Journal of Zhejiang University SCIENCE A 2005 Vol.6 No.10 P.1158~1162

http://doi.org/10.1631/jzus.2005.A1158


Correlation analysis-based image segmentation approach for automatic agriculture vehicle


Author(s):  ZHANG Fang-ming, YING Yi-bin, JIANG Huan-yu, SHIN Beom-soo

Affiliation(s):  School of Biosystem Engineering and Food Science, Zhejiang University, Hangzhou 310029, China; more

Corresponding email(s):   ybying@zju.edu.cn

Key Words:  Image segmentation, Machine vision, Correlation analysis, Guidance


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.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

[1] Benson, E.R., 2001. Vision Based Guidance of an Agricultural Combine. Ph.D Thesis, UIUC, p.116-123.

[2] Debain, C., Chateau, T., Berducat, M., Martinet, P., Bonton, P., 2000. A guidance-assistance system for agricultural vehicles. Computers and Electronics in Agriculture, 25:29-51.

[3] Francisco, R.M., Zhang, Q., Reid, J.F., 2003. Automatic Navigation with Stereo Disparity. ASAE Annual International Meeting. Las Vegas, Nevada, USA.

[4] Kise, M., Zhang, Q., Francisco, R.M., 2004. Stereovision-based 3D Field Recognition for Agricultural Vehicle. Proceedings of the CIGR International Conference, Beijing, Session V.

[5] Marchant, J.A., 1996. Tracking of row structure in three crops using image analysis. Computers and Electronics in Agriculture, 15:161-179.

[6] Marchant, J.A., Brivot, A.R., 1995. Real-time tracking of plant rows using a Hough transform. Real-Time Imaging, 1:363-371.

[7] Ollis, M., Stentz, A., 1997. First Results in Vision-based Crop Line Tracking. Proceedings of the IEEE Robotics and Automation Conference, Minneapolis, Minnesota, USA, 1:951-956.

[8] O’Sulliran, J.A., Montagnino, L.J., 2004. Azimuth Correlation Models for Radar Imaging. Proceedings of SPIE—Algorithms for Synthetic Aperture Radar Imagery, 5095:45-53.

[9] Searcy, S.W., Reid, J.F., 1987. Vision-based guidance of an agricultural tractor. IEEE Control Systems, 12:39-43.

[10] Shen, M.X., Li, X.Z., Ji, C.Y., 2003. Detection of areas of cropland scenery using morphology. Transactions of the Chinese Society for Agricultural Machinery, 34(1):92-94.

[11] Torii, T., Kanuma, T., Okamoto, T., 1996. Image Analysis of Crop Row for Agricultural Mobile Robot. Proceedings of AGENG96, Madrid, Spain, p.1045-1046.

Open peer comments: Debate/Discuss/Question/Opinion

<1>

Please provide your name, email address and a comment





Journal of Zhejiang University-SCIENCE, 38 Zheda Road, Hangzhou 310027, China
Tel: +86-571-87952783; E-mail: cjzhang@zju.edu.cn
Copyright © 2000 - Journal of Zhejiang University-SCIENCE