Higher-order regularization and morphological techniques for image segmentation
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Summary
A new regularization method is proposed that learns shape and topological information from training data in a non-parametric way using higher-order potentials.
- Type
- article
- Published
- 2015-12-21
- Cited by
- 1
- References
- 4
- Access
- Open access
- OpenAlex
- https://openalex.org/W63556708
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:33743625
Keywords
Computer science, Regularization (linguistics), Segmentation, Artificial intelligence, Computer vision
References
Cited by
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