A new level set method for inhomogeneous image segmentation

作者：

Highlights：

• We constructed a new region-based pressure force (RBPF) function.

• We proposed a novel level set based model for inhomogeneous image segmentation.

• We combine the local and global intensity information adaptively.

• The local image information can significantly increase image contrast.

• We apply a fast and simple level set method to implement the curve evolution.

摘要

•We constructed a new region-based pressure force (RBPF) function.•We proposed a novel level set based model for inhomogeneous image segmentation.•We combine the local and global intensity information adaptively.•The local image information can significantly increase image contrast.•We apply a fast and simple level set method to implement the curve evolution.

论文关键词：Level set method,Inhomogeneous image segmentation,Local image information,Global image information

论文评审过程：Received 5 February 2012, Revised 6 June 2013, Accepted 12 August 2013, Available online 26 August 2013.

论文官网地址：https://doi.org/10.1016/j.imavis.2013.08.003