Fig. 2

ROC curves using different methods. ROC curves from four tests of k-NN using different methods. The ImageJ only line uses only the 25 outputs of the ImageJ object detection (dash-dot). All values expands the data to all 1561 variables (to include the histogram values for RGB and HSB) for the classifier (dot-dot). The PCA of all values uses a PCA to reduce the dimensionality of the data to 21 principle components (dash-dash). An optimised image set used just the images that clearly demonstrated to a human un-germinated or germinated seed with the same 21 principle components (sold line). All results were generated using a random seed of 1234, to show one representative result