Active contour model coupling with higher order diffusion for medical image segmentation

作者：Wang Guodong^*; Xu Jie; Dong Qian; Pan Zhenkuan

来源：International Journal of Biomedical Imaging, 2014, 2014: 1-8.

DOI：10.1155/2014/237648

• Active contour model
• Difference schemes
• Diffusion method
• Higher-order
• Inhomogeneities
• Numerical experiments
• Ordering diffusion
• Split bregman algorithms

Active contour models are very popular in image segmentation. Different features such as mean gray and variance are selected for different purpose. But for image with intensity inhomogeneities, there are no features for segmentation using the active contour model. The images with intensity inhomogeneities often occurred in real world especially in medical images. To deal with the difficulties raised in image segmentation with intensity inhomogeneities, a new active contour model with higher-order diffusion method is proposed. With the addition of gradient and Laplace information, the active contour model can converge to the edge of the image even with the intensity inhomogeneities. Because of the introduction of Laplace information, the difference scheme becomes more difficult. To enhance the efficiency of the segmentation, the fast Split Bregman algorithm is designed for the segmentation implementation. The performance of our method is demonstrated through numerical experiments of some medical image segmentations with intensity inhomogeneities.

• 出版日期2014