Medical Image Segmentation Based on a Hybrid Region-Based Active Contour Model

作者：Liu Tingting; Xu Haiyong; Jin Wei^*; Liu Zhen; Zhao Yiming; Tian Wenzhe

来源：Computational and Mathematical Methods in Medicine, 2014, 2014: 890725.

DOI：10.1155/2014/890725

A novel hybrid region-based active contour model is presented to segment medical images with intensity inhomogeneity. The energy functional for the proposed model consists of three weighted terms: global term, local term, and regularization term. The total energy is incorporated into a level set formulation with a level set regularization term, from which a curve evolution equation is derived for energy minimization. Experiments on some synthetic and real images demonstrate that our model is more efficient compared with the localizing region-based active contours (LRBAC) method, proposed by Lankton, and more robust compared with the Chan-Vese (C-V) active contour model.

• 出版日期2014
• 单位宁波大学