Multiscale image segmentation based on improved CV model
Mingyi He · Jisuanji yingyong yanjiu · 2008
A new approach for image segmentation at different scales of observation was proposed based on multiscale image decomposition and active contours model.The method consists of two steps.Firstly,a representation of a given image at multiple scales was derived,by means of a smoothing method which minimized total variation norm of the image incorporated gradient vector flow(GVF).Secondly,an improved Chan-Vese(CV) model was used to segment the image which structures were extracted at each scale.Moreover,this model was implemented using variational level set approach.The experiments obtain preferable results.