Brain MR image segmentation based on improved Snake model
基于改进的Snake模型的脑部MR图像分割方法

To segment magnetic resonance brain images,a new method based on an improved Snake model was proposed.The method by introducing contour center,added a distance potential energy term as exterior sanction energy to the energy function of greedy algorithm for capturing the image feature in a wider range,so the result of segmentation didn't rely on the initial contour.By normalizing every energy term and replacing the gradient field by improved GVF with normalized force vectors in the diffusion equations,the model could segment the weak edges and deep concave regions effectively.Elaborated the discretization of energy function and choosing of parameters.The experiment results demonstrate that this algorithm is an effective method for segmenting the brain MR image.