A robust hybrid active contour model based on pre-fitting bias field correction for fast image segmentation

作者：

Highlights：

• A hybrid active contour model based on bias correction is proposed.

• The bias field is calculated through a new method before curve iteration.

• An adaptive edge indicator function and a new regularization function is given.

• Experiments show the superiority of the proposed model such as high efficiency, robustness and accuracy.

摘要

•A hybrid active contour model based on bias correction is proposed.•The bias field is calculated through a new method before curve iteration.•An adaptive edge indicator function and a new regularization function is given.•Experiments show the superiority of the proposed model such as high efficiency, robustness and accuracy.

论文关键词：Active contour model,Bias field,Adaptive edge indicator function,Intensity inhomogeneity,Image segmentation

论文评审过程：Received 11 December 2020, Revised 2 June 2021, Accepted 7 June 2021, Available online 10 June 2021, Version of Record 16 June 2021.

论文官网地址：https://doi.org/10.1016/j.image.2021.116351