Variational image segmentation model coupled with image restoration achievements
作者：
Highlights：
• Provide a new methodology and a new model for multiphase image segmentation.
• Extend the piecewise constant Mumford–Shah model to handle blurry case easily.
• Has the ability to segment images with Gaussian, Poisson, and impulsive noises.
• Effective in segmenting vector-valued image and image observed with information loss.
• The convergence of the AM algorithm with three variables adopted is proved.
摘要
Highlights•Provide a new methodology and a new model for multiphase image segmentation.•Extend the piecewise constant Mumford–Shah model to handle blurry case easily.•Has the ability to segment images with Gaussian, Poisson, and impulsive noises.•Effective in segmenting vector-valued image and image observed with information loss.•The convergence of the AM algorithm with three variables adopted is proved.
论文关键词：Image segmentation,Image restoration,Piecewise constant Mumford–Shah model
论文评审过程：Received 10 May 2014, Revised 12 November 2014, Accepted 13 January 2015, Available online 19 January 2015.
论文官网地址：https://doi.org/10.1016/j.patcog.2015.01.008
