Medical image segmentation on the basic of a variational level set

In this paper, on the basis of techniques of curve evolution, we propose a novel variational level set model for segmentation of intensity inhomogeneity images. The model is integrated with some advantages of fitting statistical model and region-based active contour model to the intensity in each of a set of regions. Furthermore, the experimental results show the validity of this model for various image modalities. All of these results may be useful in the study of the image segmentation.