Leaf Vein Network CNN Results

Results for leaf vein networks extracted using the LeafVeinCNN software package. The original image data set is available from Blonder et al. (2019) https://doi.org/10.1002/ecy.2844. The LeafVeinCNN software used in the analysis is available at  https://doi.org/10.5281/zenodo.4007730

The Results_xxx.zip files contain all the Excel results spreadsheets separated by the code for each field site.

results.xls provides a summary of all the network metrics for each file that was analysable

Results_figures.pdf provides a summary image of the processing steps and results for each leaf segment

Network_images.pdf contains a colour-coded image of each network superimposed on the leaf segment

HLD_plots shows the binary tree following Hierarchical Network Decomposition

PR_results.zip contains the Excel spreadsheets for evaluation of different enhancement methods for each leaf segment.

PR_summary.xls provides a summary of the performance of each enhancement method.

PR_F1_images.pdf and PR_FBeta2_images.pdf show the pixel classification for each enhancement and segmentation method compared to the manual ground-truth using two different optimum criteria (F1 and FBeta2).

PR_fullwidth_plots show the full Precision-Recall plots for the full-width binary image compared to the manual ground-truth using the FBeta2 metric.

PR_skeleton_plots show the full Precision-Recall plots for the skeletonised binary image compared to the manual ground-truth using the FBeta2 metric.

PR_threshold_plots.pdf show how a set of network metrics vary with the segmentation threshold for each enhancement method.