Automatic medical image segmentation based on gradient vector flow
基于梯度向量流的医学图像自动分割

Image segmentation is an important issue in medical imaging.In this paper,a fully automatic algorithm based on Gradient Vector Flow(GVF) was proposed.Firstly a scalar field was constructed from the GVF field.The scalar field can greatly simplify the selection of seeds and region growing process.Then a Region Adjacency Graph(RAG) based region merging algorithm was applied to get the final result from the initial segmentation.Several experimental results demonstrate that this method is efficient in multiple objects segmentation of medical images.