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

• A weighting parameter is introduced to integrate the local and global intensity fitting energy.
• An adaptive weighting parameter estimation method is proposed.
• Experimental results demonstrate the performance of the proposed method.

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.