Unlevel-Sets: Geometry and Prior-Based Segmentation

  title={Unlevel-Sets: Geometry and Prior-Based Segmentation},
  author={Tammy Riklin-Raviv and Nahum Kiryati and Nir A. Sochen},
We present a novel variational approach to top-down image segmentation, which accounts for significant projective transformations between a single prior image and the image to be segmented. The proposed segmentation process is coupled with reliable estimation of the transformation parameters, without using point correspondences. The prior shape is represented by a generalized cone that is based on the contour of the reference object. Its unlevel sections correspond to possible instances of the… CONTINUE READING