文摘
Machine learning is integrated with region-based active contour models. A map of classification probability scores from machine learning algorithm is used. Two family of regularization functions are proposed and used to regularize the map. The region-based active contour model is applied on the regularized map. The accuracy, speed, and sensitivity to parameter tuning are improved.