An interactive image segmentation method based on dynamic programming and its application in medical image analysis

In this paper we present an interactive image segmentation method based on DP (dynamic programming), and extend the method in two aspects. First, we append a training mechanism to enhance the robustness of our approach to local noise; Second, we integrate the region-based segmentation with DP to improve the accuracy of image segmentation. A number of experiments show that our approach performs well on a variety of medical images.