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Active Mesh

Speeding up active mesh segmentation by local termination of nodes

Active meshes and other deformable models are very popular in image segmentation due to their ability to capture weak or missing boundary information; however, where strong edges exist, computations are still done after mesh nodes have settled on the boundary. This can lead to extra computational time whilst the system continues to deform completed regions of the mesh. We propose a local termination procedure, reducing these unnecessary computations and speeding up segmentation time with minimal loss of quality.

 

3D mesh representation of the mature pollen grain segmentation results

3D mesh
representation of the mature pollen grain segmentation results

 

Collaborators:

  • Dr Philippe Laissue, Department of Biological Sciences, University of Essex, UK
  • Prof. John Girkin, Department of Physics, University of Durham, UK

Publications:

  • [2014,inproceedings] bibtex
    C. J. Nelson, M. Dixon, P. P. Laissue, and B. Obara, "Speeding up active mesh segmentation by local termination of nodes," in Medical Image Understanding and Analysis, London, UK, 2014, pp. 179-184.
    @inproceedings{Nelson2014a,
      author = {Carl J. Nelson and Martin Dixon and Pierre Philippe Laissue and Boguslaw Obara},
      title = {Speeding up active mesh segmentation by local termination of nodes},
      booktitle = {Medical Image Understanding and Analysis},
      address = {London, UK},
      pages = {179-184},
      month = {9-11 July},
      year = {2014}
    }
  • [2014,inproceedings] bibtex
    C. J. Nelson and B. Obara, "A bioimage informatics QVEST: quick, versatile and easy segmentation \& tracking system," in The Society for Experimental Biology (SEB), Manchester, UK, 2014.
    @inproceedings{Nelson2014b,
      author = {Carl J. Nelson and Boguslaw Obara},
      title = {A bioimage informatics {QVEST}: quick, versatile and easy segmentation \& tracking system},
      booktitle = {The Society for Experimental Biology (SEB)},
      address = {Manchester, UK},
      month = {1-4 July},
      year = {2014}
    }