Image segmentation by relaxed deep extreme cut with connected extreme points

DOI10.1007/978-3-030-76657-3_32zbMath1484.68301OpenAlexW3161405737MaRDI QIDQ2061836

Paulo A. V. Miranda, Caio L. Demario, Débora E. C. Oliveira

Publication date: 21 December 2021

Full work available at URL: https://doi.org/10.1007/978-3-030-76657-3_32

zbMATH Keywords

iterative relaxationconnected extreme pointsdeep extreme cut

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Graph theory (including graph drawing) in computer science (68R10)

Related Items (1)

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Cites Work

• Path-value functions for which Dijkstra's algorithm returns optimal mapping
• Oriented Image Foresting Transform Segmentation by Seed Competition
• Riverbed: A Novel User-Steered Image Segmentation Method Based on Optimum Boundary Tracking

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