由于遥感影像的复杂性,面状地物的提取存在着一定的难度。区域统计活动轮廓法有着较强的稳定性和适应性,且在一定的概率密度分布下存在着快速的算法。针对交互式操作的特点,提出了一种基于多边形区域统计活动轮廓的面状地物半自动提取方法,并使用最小描述长度法简化面状地物的轮廓。实验结果显示了该方法在面状地物提取问题上的有效性和实用性。

Active contour is an important method to segment images. Its segmentation strategy is usually edge-based or region-based and based on the contour energy minimization. But the classical active contour is difficult to deal with the region which has weak edges or is in the complicated background. In this paper, we implement an improved statistical region-based active contour and propose a strategy to extract region of interest by polygon. Within the family of exponential probability density function, statistical region-based active contour can run by fast algorithm. We give details of the realization of the algorithm and simplify the contour by the minimum description length. Experiment results illustrate the efficiency of our proposed method in contour extraction.