Semi-automated Shoot Image Segmentation using K-means Clusering of Eigen-colors - kmSeg v0.1
kmSeg tool was developed to enable efficient supervised segmentation of plant shoot images for subsequent training of machine and deep learning algorithms.
The kmSeg tool automatically clusters image colors into a smalle predefined number of classes (typically between 10 and 25)
that are in the next step manually assigned to either plant or non-plant (background) categories.
Leibniz Institute of Plant Genetics and Crop Plant Research (IPK)
06466 Stadt Seeland,
Telefon: +49 (0)39482 50
Telefax: +49 (0)39482 5139