A novel level set method for image segmentation by incorporating local statistical analysis and global similarity measurement

作者：

Highlights：

• The intensity statistical analysis is performed on local circular regions.

• The global energy term is formulated by minimizing the Bhattacharyya coefficient.

• The penalty energy term associated with a new double-well potential is proposed.

• The proposed method is efficient and robust for segmenting complex images.

摘要

•The intensity statistical analysis is performed on local circular regions.•The global energy term is formulated by minimizing the Bhattacharyya coefficient.•The penalty energy term associated with a new double-well potential is proposed.•The proposed method is efficient and robust for segmenting complex images.

论文关键词：Image segmentation,Level set method,Local statistical analysis,Global similarity measurement,Double-well potential

论文评审过程：Received 26 March 2014, Revised 8 June 2014, Accepted 4 July 2014, Available online 15 July 2014.

论文官网地址：https://doi.org/10.1016/j.patcog.2014.07.008