Integration Of Boundary Finding And Regionbased Segmentation Using Game Theory

Robust segmentation of structures from an image is essential for a variety of applications in biomedical image analysis. Here we propose a method that integrates region based segmentation and gradient based boundary nding using game theory in an eeort to form a uniied approach that is robust to noise and poor initialization. The novelty of the method is that this is a bi-directional framework whereby the two seperate modules improve their results through mutual information sharing.