Learned Watershed: End-to-End Learning of Seeded Segmentation
Learned Watershed: End-to-End Learning of Seeded Segmentation
Learned boundary maps are known to outperform handcrafted ones as a basis for the watershed algorithm. We show, for the first time, how to train watershed computation jointly with boundary map prediction. The estimator for the merging priorities is cast as a neural network that is convolutional (over space) and …