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Image and Volume Segmentation by Water Flow

  • Xin U. Liu
  • Mark S. Nixon
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4842)

Abstract

A general framework for image segmentation is presented in this paper, based on the paradigm of water flow. The major water flow attributes like water pressure, surface tension and capillary force are defined in the context of force field generation and make the model adaptable to topological and geometrical changes. A flow-stopping image functional combining edge- and region-based forces is introduced to produce capability for both range and accuracy. The method is assessed qualitatively and quantitatively on synthetic and natural images. It is shown that the new approach can segment objects with complex shapes or weak-contrasted boundaries, and has good immunity to noise. The operator is also extended to 3-D, and is successfully applied to medical volume segmentation.

Keywords

Mean Square Error Active Contour Image Force Active Contour Model Impulsive Noise 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Xin U. Liu
    • 1
  • Mark S. Nixon
    • 1
  1. 1.ISIS group, School of ECS, University of Southampton, SouthamptonUK

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