Python

Surface Distance measures are a good way of evaluating the accuracy of an image-segmentation if we already know the ground truth (GT). The problem is that there is no nicely packaged function in Python to do this directly. In this post, we’ll write a surface distance function in Python which uses numpy and scipy. It’ll help us to calculate Mean Surface Distance (MSD), Residual Mean-Square Error (RMS) and the Hausdorff Distance (HD).