Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011

Volume 6891 of the series Lecture Notes in Computer Science pp 653-660

Carving: Scalable Interactive Segmentation of Neural Volume Electron Microscopy Images

  • C. N. StraehleAffiliated withUniversity of Heidelberg
  • , U. KötheAffiliated withUniversity of Heidelberg
  • , G. KnottAffiliated withEcole Polytechnique Fédérale
  • , F. A. HamprechtAffiliated withUniversity of Heidelberg

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Interactive segmentation algorithms should respond within seconds and require minimal user guidance. This is a challenge on 3D neural electron microscopy images. We propose a supervoxel-based energy function with a novel background prior that achieves these goals. This is verified by extensive experiments with a robot mimicking human interactions. A graphical user interface offering access to an open source implementation of these algorithms is made available.


electron microscopy seeded segmentation interactive segmentation graph cut watershed supervoxel