An improved active contours model for image segmentation by level set method

作者：Shi, Na^*; Pan, Jinxiao

来源：Optik, 2016, 127(3): 1037-1042.

DOI：10.1016/j.ijleo.2015.09.184

• Image segmentation
• Intensity inhomogeneity
• LGBF model
• Generalized Gaussian kernel function

The variational level set approaches are widely used in image segmentation. To extract the objects from the inhomogeneity image, an improved local and global binary fitting active contours model is presented in this paper. The energy functional has been defined by a local intensity fitting term and a global intensity fitting term. The generalized Gaussian distribution has been used as the kernel function of the local binary fitting information. The experiment results of the homogeneity images, artificial and real inhomogeneous images have shown the advantages of LGBF model in terms of accuracy and robustness.

• 出版日期2016
• 单位中北大学