Adaptive Active Contour Model: a Localized Mutual Information Approach for Medical Image Segmentation

作者：Dai, Shuanglu; Zhan, Shu^*; Song, Ning

来源：KSII Transactions on Internet and Information Systems, 2015, 9(5): 1840-1855.

DOI：10.3837/tiis.2015.05.016

• Medical image segmentation
• Active contour model
• level set method
• Localized mutual information
• Energy functional

Troubles are often met when traditional active contours extract boundaries of medical images with inhomogeneous bias and various noises. Focusing on such a circumstance, a localized mutual information active contour model is discussed in the paper. By defining neighborhood of each point on the level set, mutual information is introduced to describe the relationship between the zero level set and image field. A driving energy term is then generated by integrating all the information. In addition, an expanding energy and internal energy are designed to regularize the driving energy. Contrary to piecewise constant model, new model has a better command of driving the contours without initialization.

• 出版日期2015-5-31
• 单位合肥工业大学; 复旦大学