A fuzzy-statistical contour model for MRI segmentation and target tracking
Wael AbdAlmageed, Aly I. El-Osery, Christopher E. Smith · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2004
In this paper, a new formulation for the parametric active contour model is presented. The new formulation is based on statistical pattern recognition theory. A hybrid of kernel density estimation and fuzzy logic is used to show that active contours can be thought of as a pattern recognition problem. The proposed approach is used in two different application domains, with different performance requirements, to demonstrate its effectiveness. First, the proposed approach is used for a magnetic resonance image segmentation problem to demonstrate the segmentation accuracy. Second, the contour is used in a target tracking experiment to show its tracking capabilities.