Fast Mumford-Shah Model MRI Segmentation Based on Histogram Method
基于直方图的快速Mumford-Shah模型MRI分割

Mumford-Shah model,which has better ability to segment images, had been used to segmenting images or tracking targets.But it needs computing all the data of the image constantly during the iterative course,so it is not suitable for real-time application for its low efficiency.Aiming at this disability,by using the characteristic of the MRI,a fast method of solving the M-S model is improved based on the histogram method.This method first construct a signed table,which can be used to distinguish the area inside or outside of the edges,and use the histogram method to get the rough results,then use the searching method to optimize the results and get the final edges.Experimental results show that the new model can get the better results in an efficient way.