Title:	NEURAL NETWORKS AND LOW-COST OPTICAL FILTERS FOR PLANT SEGMENTATION
Author(s):	Floris De Smedt, Ive Billauws, Toon Goedemé
ISBN:	978-972-8939-22-9
Editors:	Yingcai Xiao, Tomaz Amon and Piet Kommers
Year:	2010
Edition:	Single
Keywords:	Image segmentation, agricultural, weed detection, neural network pixel classification
Type:	Full Paper
First Page:	141
Last Page:	148
Language:	English
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Paper Abstract:	In this paper, we describe a low-cost system for image segmentation in agricultural applications. In applications such as weed detection and classification, plants must be segmented from the image. Our novel approach combines low-cost NIR filters used on a standard camera with neural networks to achieve a significantly higher accuracy as compared to classic threshold techniques.
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