Efficient hierarchical layered graph approach for multi-region segmentation

@inproceedings{Leon2019EfficientHL,
  title={Efficient hierarchical layered graph approach for multi-region segmentation},
  author={L. C. Leon},
  year={2019}
}
Leon, Leissi M. C. Efficient Hierarchical Layered Graph Approach for MultiRegion Segmentation. 78 f. Tese (Doutorado) Instituto de Matemática e Estatística, Universidade de São Paulo, São Paulo, 2019. Image segmentation refers to the process of partitioning an image into meaningful regions of interest (objects) by assigning distinct labels to their composing pixels. Images are usually composed of multiple objects with distinctive features, thus requiring distinct highlevel priors for their… Expand

References

SHOWING 1-10 OF 63 REFERENCES
Deep Extreme Cut: From Extreme Points to Object Segmentation
  • 161
  • Highly Influential
  • PDF
3d image reconstruction for comparison of algorithm database : A patientspecific anatomical and medical image database. URL https://www.ircad.fr/research/ 3d-ircadb-02
  • Citado na pág. xv,
  • 2012
Star Shape Prior for Graph-Cut Image Segmentation
  • 305
  • Highly Influential
  • PDF
Learned Watershed: End-to-End Learning of Seeded Segmentation
  • 25
  • Highly Influential
  • PDF
A unifying graph-cut image segmentation framework: algorithms it encompasses and equivalences among them
  • 19
  • Highly Influential
  • PDF
The Mutex Watershed and its Objective: Efficient, Parameter-Free Image Partitioning
  • 11
  • PDF
Extensions of the hierarchical graph approach in multi-region segmentation
  • LatinX in AI Workshop @ International Conference in Machine Learning (ICML)
  • 2019
Graph-Based Segmentation with Local Band Constraints
  • 4
  • PDF
Relaxed Oriented Image Foresting Transform for Seeded Image Segmentation
  • 2
  • PDF
A hierarchical layered graph approach for multi-label segmentation in 2d medical images
  • Citado na pág
  • 2018
...
1
2
3
4
5
...