Enforcing topological constraints in random field image segmentation Conference Poster

Author(s): Chen, Chao; Freedman, Daniel; Lampert, Christoph
Title: Enforcing topological constraints in random field image segmentation
Affiliation IST Austria
Abstract: We introduce TopoCut: a new way to integrate knowledge about topological properties (TPs) into random field image segmentation model. Instead of including TPs as additional constraints during minimization of the energy function, we devise an efficient algorithm for modifying the unary potentials such that the resulting segmentation is guaranteed with the desired properties. Our method is more flexible in the sense that it handles more topology constraints than previous methods, which were only able to enforce pairwise or global connectivity. In particular, our method is very fast, making it for the first time possible to enforce global topological properties in practical image segmentation tasks.
Conference Title: CVPR: Computer Vision and Pattern Recognition
Publisher: IEEE  
Date Presented: 2011-06-20
Start Page: 2089
End Page: 2096
Sponsor: The first author is supported by the Austrian Science Fund (FWF) grant No. P20134-N13.
DOI: 10.1109/CVPR.2011.5995503
Open access: no
IST Austria Authors
  1. Christoph Lampert
    87 Lampert
  2. Chao Chen
    14 Chen
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