An Interactive Segmentation Method Based on Dynamic Programming and Its Application in Medical Image Analysis

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Venue:
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Year:
1998

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Abstract

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.