Level set segmentation with shape and appearance models using affine moment descriptors

Authors:
Carlos Platero;María Carmen Tobar;Javier Sanguino;José Manuel Poncela;Olga Velasco
Affiliations:
Applied Bioengineering Group, Technical University of Madrid;Applied Bioengineering Group, Technical University of Madrid;Applied Bioengineering Group, Technical University of Madrid;Applied Bioengineering Group, Technical University of Madrid;Applied Bioengineering Group, Technical University of Madrid
Venue:
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
Year:
2011

Citing 3
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Abstract

We propose a level set based variational approach that incorporates shape priors into edge-based and region-based models. The evolution of the active contour depends on local and global information. It has been implemented using an efficient narrow band technique. For each boundary pixel we calculate its dynamic according to its gray level, the neighborhood and geometric properties established by training shapes. We also propose a criterion for shape aligning based on affine transformation using an image normalization procedure. Finally, we illustrate the benefits of the our approach on the liver segmentation from CT images.