Learning the Hit-or-Miss Transform-Based Morphological Neural Networks
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DOI: 10.1109/access.2025.3559012
Abstract: Mathematical morphology is well suited for learning interpretable shapes because of its structure-based operations. In this article, we propose techniques to improve the learning of the hit-or-miss transform, a morphological operation developed to detect object… read more here.
Keywords: hit miss; learning hit; miss transform; transform based ... See more keywords