Coupled Model Driven by Local Entropy on Biological Medical Image Segmentation and Bias Recovery

In order to reduce noise and recover bias field,we propose a coupled model for segmentation and bias recovery based on local entropy.Under the Level Set theory,this paper introduces the local entropy information into our coupled model,then rewrites the energy function as a global convex function solved by using the Split-Bregman method to obtain the global optimal solution.The experimental results show that our method can segment intensity inhomogeneous image accurately and rapidly,and recover the bias field of image greatly.Moreover,the model is robust to the initialization and parameters.