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SCALESPACE
2015
Springer

Fast Minimization of Region-Based Active Contours Using the Shape Hessian of the Energy

4 years 9 months ago
Fast Minimization of Region-Based Active Contours Using the Shape Hessian of the Energy
We propose a novel shape optimization algorithm for region-based active contour models. Region-based active contours are preferred for many segmentation problems, because they incorporate more global information by aggregating cues or statistics over the distinct regions defined by the contour configuration. This makes them effective in a diverse array of segmentation scenarios, also more robust to contour initializations, Unfortunately they are also more expensive computationally, because a significant part of the optimization involves repeated integrations of the image features over the regions through the many iterations of the contour updates. Accordingly, we aim to decrease the overall computational cost of region-based active contours by reducing the cost of an individual iteration, and the total number of iterations. To this end, we first develop a Lagrangian curve representation that is spatially adaptive and economical in terms of the number of nodes used. Then we perform ...
Günay Dogan
Added 17 Apr 2016
Updated 17 Apr 2016
Type Journal
Year 2015
Where SCALESPACE
Authors Günay Dogan
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