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Proceedings Paper

Development of methods based on double Hough transform or Gabor filtering to discriminate between crop and weed in agronomic images
Author(s): Jérémie Bossu; Christelle Gée; Jean-Philippe Guillemin; Frédéric Truchetet
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Paper Abstract

This paper presents two spatial methods to discriminate between crop and weeds. The application is related to agronomic image with perspective crop rows. The first method uses a double Hough Transform permitting a detection of crop rows and a classification between crop and weeds. The second method is based on Gabor filtering, a band pass filter. The parameters of this filter are detected from a Fast Fourier Transform of the image. For each method, a weed infestation rate is obtained. The two methods are compared and a discussion concludes about the abilities of these methods to detect the crop rows in agronomic images. Finally, we discuss this method regarding the capability of the spatial approach for classifying weeds from crop.

Paper Details

Date Published: 9 February 2006
PDF: 11 pages
Proc. SPIE 6070, Machine Vision Applications in Industrial Inspection XIV, 60700N (9 February 2006); doi: 10.1117/12.642908
Show Author Affiliations
Jérémie Bossu, UMR ENESAD/Cemagref (France)
Christelle Gée, UMR ENESAD/Cemagref (France)
Jean-Philippe Guillemin, UMR ENESAD/INRA (France)
Frédéric Truchetet, UMR 5158 uB-CNRS (France)

Published in SPIE Proceedings Vol. 6070:
Machine Vision Applications in Industrial Inspection XIV
Fabrice Meriaudeau; Kurt S. Niel, Editor(s)

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