An adaptive weighting parameter estimation between local and global intensity fitting energy for image segmentation

作者：Wang, Hui; Huang, Ting-Zhu^*

来源：Communications in Nonlinear Science & Numerical Simulation, 2014, 19(9): 3098-3105.

DOI：10.1016/j.cnsns.2014.02.015

• Image segmentation
• Intensity inhomogeneity
• Level set method
• Chan-Vese model
• LBF model

Local and global intensity fitting energy are widely used for image segmentation. In order to improve the segmentation quality in the presence of intensity inhomogeneity, in this paper, we propose a new adaptive rule for obtaining weighting parameter estimation between the local and global intensity fitting energy. Following the minimization of the energy functional, the value of the weighting parameter is dynamically updated with the contour evolution, which is effective and accurate for extracting the object.

• 出版日期2014-9
• 单位电子科技大学; 安顺学院