Initialization Techniques for Segmentation with the Chan-Vese Model

This paper introduces an effective initialization approach for segmentation using the Chan-Vese model. The initial curve is found by searching among the extremals of the fidelity term, as a form of intelligent thresholding where the regularity of the threshold level is incorporated. The method has a nice connection to the curvature of the optimal initial partition boundary. The method is tested on several examples and gives considerable increase in performance.

• Type: Conference
• Year: 2006
• Where: ICPR
• Authors: Jan Erik Solem, Niels Chr. Overgaard, Anders Heyden
• Keywords: Computer Vision, Effective Initialization Approach, ICPR 2006, Initial Curve, Optimal Initial Partition