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<item>
  <id>05858763</id>
  <dt>a</dt>
  <an>05858763</an>
  <augroup>
    <au>De Vylder, Jonas</au>
    <au>Douterloigne, Koen</au>
    <au>Philips, Wilfried</au>
  </augroup>
  <ti>A fast external force field for parametric active contour segmentation.</ti>
  <so>Blanc-Talon, Jacques (ed.) et al., Advanced concepts for intelligent vision systems. 12th international conference, ACIVS 2010, Sydney, Australia, December 13--16, 2010. Proceedings, Part I. Berlin: Springer (ISBN 978-3-642-17687-6/pbk). Lecture Notes in Computer Science 6474, 125-134 (2010).</so>
  <py>2010</py>
  <pu>Berlin: Springer</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
    <ut>active contours</ut>
    <ut>segmentation</ut>
    <ut>edge and force propagation</ut>
  </utgroup>
  <cigroup>
  </cigroup>
  <ligroup>
    <li>doi:10.1007/978-3-642-17688-3_13</li>
  </ligroup>
  <abgroup>
    <ab>Summary: Active contours or snakes are widely used for segmentation and tracking. We propose a new active contour model, which converges reliably even when the initialization is far from the object of interest. The proposed segmentation technique uses an external energy function where the energy slowly decreases in the vicinity of an edge. Based on this energy a new external force field is defined. Both energy function and force field are calculated using an efficient dual scan line algorithm. The proposed force field is tested on computational speed, its effect on the convergence speed of the active contour and the segmentation result. The proposed method gets similar segmentation results as the gradient vector flow and vector field convolution active contours, but the force field needs significantly less time to calculate.</ab>
    <rv></rv>
  </abgroup>
</item>