Extending the Morphological Hit-or-Miss Transform to Deep Neural Networks

Muhammad Aminul Islam, Bryce Murray, Andrew Buck +4

While most deep learning architectures are built on convolution, alternative foundations like morphology are being explored for purposes like interpretability and its connection to…