Extending the Morphological Hit-or-Miss Transform to Deep Neural Networks
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DOI: 10.1109/tnnls.2020.3025723
Abstract: While most deep learning architectures are built on convolution, alternative foundations such as morphology are being explored for purposes such as interpretability and its connection to the analysis and processing of geometric structures. The morphological… read more here.
Keywords: morphological hit; neural networks; hit miss; miss transform ... See more keywords