Weed Image Edge Detection Based on Order Morphology Transformation

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Abstract:

Weed recognition is one of the key parts of variable rate spray system, and is the important part of precision agriculture. This paper applied the order morphology to weed recognition, and constructs the edge detection operations that fit to weed image. The corresponding simulation is also done, the result show that the operation that this paper proposed is very suit for weed edge detection.

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Periodical:

Advanced Materials Research (Volumes 468-471)

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2348-2351

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Online since:

February 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Naeem AM, Irshad Ahmad,Muham madIslam, in: Weed classification using angular cross sectional intensities for real-time selective herbicide applications, edited by Dj.M. Maric, P.F. Meier and S.K. Estreicher, volume 83-87 of Proceedings of the International Conference on Computing: Theory and Applications: Mater. Sci. Forum (2007)

DOI: 10.1109/iccta.2007.132

Google Scholar

[2] IshakA J,Mokri S S, in: Weed detection utilizing quadratic polynomial and ROI techniques, page 124-128 of The 5th Student Conference on Research and Development (2007)

DOI: 10.1109/scored.2007.4451360

Google Scholar

[3] UkritWatchareerueta,l YoshinoriTakeuch.i, in: Computer vision based methods for detecting weeds in lawns, page 1-6 of IEEE Conference on Cybernetics and Intelligent Systems(2006)

DOI: 10.1109/iccis.2006.252275

Google Scholar

[4] Sagaard H T.Weed in: classification by active shape models, volume 91 of Bios stems Engineering, (2005)

Google Scholar

[5] Ping Zhou,Yaming Wang, and Yun Zhao, in: Real-time Detection of Weeds Based on Color Component and Bit-mask Operation, volume 38 of Transactions of Chinese Society for Agricultural Machinery( 2007)

Google Scholar

[6] Yulan Qian, Bangjie Yang, and Tingwu Lei, in: Intensity-hue-saturation model based image fusion of SPOT-5 HRG1 data for crop identification, volume 21 of Transactions of the Chinese Society of Agricultural Engineering(2005)

Google Scholar

[7] Haiquan Zhang,Pengfei Shi, in: Color Image Edge Detecting Method Base on HSV Color Space, volume 9 of Computer Simulation(2000)

Google Scholar

[8] Osworth J H, Acton S T, in: Morphological Scale-space in Image Processing, volume 13 of Digital Signal Processing(2003)

Google Scholar