1. Medical Image Segmentation Based on a Hybrid Region-Based Active Contour Model.
- Author
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Tingting Liu, Haiyong Xu, Wei Jin, Zhen Liu, Yiming Zhao, and Wenzhe Tian
- Subjects
- *
DIAGNOSTIC imaging , *IMAGE segmentation , *HYBRID systems , *ENERGY consumption , *ROBUST control - Abstract
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. [ABSTRACT FROM AUTHOR]
- Published
- 2014
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