New Zealand Journal of Agricultural Research abstracts
Real-time plant image segmentation algorithm under natural outdoor
light conditions
Ronghua Ji
College of Information and Electronic Engineering
China Agricultural University
17 Qinghua donglu, Haidian District
Beijing, China
Zetian Fu
Lijun Qi*
College of Engineering
China Agricultural University
17 Qinghua donglu, Haidian District
Beijing, China
*Author for correspondence: qilijun@cau.edu.cn
Abstract Variable rate pesticide application
holds great potential in precision agriculture where application
efficiency depends mainly on plant recognition. The segmentation of the
plant from the background is key to plant recognition. The work
presented in this paper is a real-time segmentation algorithm that was
developed to improve the quality of plant segmentation under natural
outdoor light conditions. The plant images were greyed with the colour
features H, a*, I3 and Cr respectively, and the plant was segmented
from the grey images with a threshold that was computed by an iterative
method. Experiments showed that segmentation was generally of good
quality if the background was bare soil. The quality of segmentation
declines if the images are greyed by H and Cr, and the quality remains
stable if they are greyed by a* and I3 when the background is
complicated, and, especially with heavy shadows. With respect to
segmentation speed, that greyed by Cr was the fastest and that greyed
by a* was slowest amongst the four
Keywords image segmentation algorithm; colour features;
threshold
A07100; Online publication date 31 January 2008; Received and accepted
10 August 2007
New Zealand Journal of Agricultural Research, 2007, Vol. 50:
847–854
0028–8233/07/5005–0847 © The Royal Society of New Zealand 2007
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