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A New Project. Build and equip a small autonomous vehicle for mapping weed and crop parameters in the field Participants: DJF, AAU, KVL, private companies Project period: Nov 2000 - May 2003. A Computer Vision Problem to be Solved. Identification of weed species from digital (colour) images.
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A New Project • Build and equip a small autonomous vehicle for mapping weed and crop parameters in the field • Participants: DJF, AAU, KVL, private companies • Project period: Nov 2000 - May 2003
A Computer Vision Problemto be Solved Identification of weed species from digital (colour) images • Only weed plants without overlap • Weed plants from cotyledon stage until two foliage leaves • Only a few selected weed species (< 20?) • Correct identification rate at same level as reported by other researchers • Sampling scheme (not cover entire field) • Solution based on existing method if possible
Potential Methods Reported methods include recognition of • Leaf/plant shape (e.g. template matching, Fourier analysis of contour) • Leaf texture (e.g. Fourier transform, wavelets) • Leaf colour/reflection spectra (e.g. linear discriminant analysis)
Representation of the Contour by a Fourier Series Colour photo of cornflower at cotyledon stage Contour and Fourier approx.
Classification based on Image Database of Known Weed Plants • Derive linear or quadratic discrimination functions by analysing images of known weed plants • Compare feature vector of an unknown weed with feature vectors in a database of known weeds - e.g. by Mahalanobis distance measure