Level set image segmentation based on simple Mumford-Shah model
基于简化Mumford-Shah模型的水平集图像分割算法

To overcome the deficiency of conventional methods in image segmentation influenced by image noise and edge contour,a level set approach to image segmentation was proposed on the basis of simplified Mumford-Shah model.Initial curve was embedded in the level set function,and image segmentation and curve evolution were accomplished when the function's solution was obtained.The experimental results show that it is a robust approach to image segmentation with noise,irrespective of edge continuous information and the curve initial position.Satisfactory effect has been achieved on image segmentation,especially homogeneous grayscale images.