Globally Optimal 3D Image Reconstruction and Segmentation Via Energy Minimisation Techniques

  • Brian C. Lovell
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3776)

Abstract

This paper provides an overview of a number of techniques developed within our group to perform 3D reconstruction and image segmentation based of the application of energy minimisation concepts. We begin with classical snake techniques and show how similar energy minimisation concepts can be extended to derive globally optimal segmentation methods. Then we discuss more recent work based on geodesic active contours that can lead to globally optimal segmentations and reconstructions in 2D. Finally we extend the work to 3D by introducing continuous flow globally minimal surfaces. Several applications are discussed to show the wide applicability and suitability of these techniques to several difficult image analysis problems.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Brian C. Lovell
    • 1
  1. 1.Intelligent Real-Time Imaging and Sensing Group, EMI, The School of Information Technology and Electrical EngineeringThe University of Queensland 

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