Adaptive Mathematical Morphology on Irregularly Sampled Signals in Two Dimensions
This paper proposes a way of better approximating continuous, two-dimensional morphology in the discrete domain, by allowing for irregularly sampled input and output signals. We generalize previous work to allow for a greater variety of structuring elements, both flat and non-flat. Experimentally we...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2020-11-01
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| Series: | Mathematical Morphology |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/mathm-2020-0104 |