NDLI: Row-detection on an agricultural field using omnidirectional camera.

Content Provider	IEEE Xplore Digital Library
Author	Ericson, S. Åstrand, B.
Copyright Year	2010
Description	Author affiliation: School of Information Science, Computer and Electrical Engineering, Halmstad University, Sweden (Åstrand, B.) \|\| School of Tecnology and Society, University of Skövde, Sweden (Ericson, S.)
Abstract	This paper describes a method of detecting parallel rows on an agricultural field using an omnidirectional camera. The method works both on cameras with a fisheye lens and cameras with a catadioptric lens. A combination of an edge based method and a Hough transform method is suggested to find the rows. The vanishing point of several parallel rows is estimated using a second Hough transform. The method is evaluated on synthetic images generated with calibration data from real lenses. Scenes with several rows are produced, where each plant is positioned with a specified error. Experiments are performed on these synthetic images and on real field images. The result shows that good accuracy is obtained on the vanishing point once it is detected correctly. Further it shows that the edge based method works best when the rows consists of solid lines, and the Hough method works best when the rows consists of individual plants. The experiments also show that the combined method provides better detection than using the methods separately.
Starting Page	4982
Ending Page	4987
File Size	2540898
Page Count	6
File Format	PDF
ISBN	9781424466740
ISSN	21530866
e-ISBN	9781424466764
DOI	10.1109/IROS.2010.5650964
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-18
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Lenses Cameras Image edge detection Transforms Robot vision systems
Content Type	Text
Resource Type	Article

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