• Affine Invariant Surface Evolutions for 3D Image Segmentation 

      Rathi, Yogesh; Olver, Peter; Sapiro, Guillermo; Tannenbaum, Allen R. (Georgia Institute of TechnologySociety of Photo-Optical Instrumentation Engineers, 2006-01)
      In this paper we present an algorithm for 3D medical image segmentation based on an affine invariant flow. The algorithm is simple to implement and semi-automatic. The technique is based on active contours evolving in time ...
    • Automatic Segmentation of Coronary Arteries Using Bayesian Driven Implicit Surfaces 

      Yang, Yan; Tannenbaum, Allen R.; Giddens, Don P.; Stillman, Arthur (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2007-04)
      In this paper, we propose a hybrid approach for the automatic three-dimensional segmentation of coronary arteries using multi-scale vessel filtering and a Bayesian probabilistic approach in a level set image segmentation ...
    • Finsler Level Set Segmentation for Imagery in Oriented Domains 

      Mohan, Vandana; Melonakos, John; Niethammer, Marc; Kubicki, Marek; Tannenbaum, Allen R. (Georgia Institute of TechnologyBritish Machine Vision Association, 2009-09)
      In this paper, we present a novel directional level set segmentation framework employing the theory of Finsler active contours. The framework provides a natural way to perform segmentation of image data in oriented domains. ...
    • A Framework for Image Segmentation Using Shape Models and Kernel Space Shape Priors 

      Dambreville, Samuel; Rathi, Yogesh; Tannenbaum, Allen R. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2008-08)
      Segmentation involves separating an object from the background in a given image. The use of image information alone often leads to poor segmentation results due to the presence of noise, clutter or occlusion. The introduction ...
    • TAC: Thresholding active contours 

      Dambreville, Samuel; Yezzi, Anthony; Lankton, Shawn; Tannenbaum, Allen R. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2008-10)
      In this paper, we describe a region-based active contour technique to perform image segmentation. We propose an energy functional that realizes an explicit trade-off between the (current) image segmentation obtained from ...
    • A variational framework combining level-sets and thresholding 

      Dambreville, Samuel; Niethammer, Marc; Yezzi, Anthony; Tannenbaum, Allen R. (Georgia Institute of TechnologyBritish Machine Vision Association, 2007-09)
      Segmentation involves separating distinct regions in an image. In this note, we present a novel variational approach to perform this task within the level-sets framework. We propose an energy functional that naturally ...