Exploiting affine invariant regions and leaf edge shapes for weed detection
We exploit affine invariant regions and leaf edge shapes for weed detection. Data contains field images of sugar beet and thistle. A new local vegetation color descriptor is also introduced. Bag of Visual Words approach is used with SVM classifier. Fusion of leaf color and edge signatures yields 99% accuracy.
affine invariant regions weed detection precision agriculture computer vision local features