Active contour model with adaptive weighted function for robust image segmentation under biased conditions

作者：

Highlights：

• A region-based model is proposed for image segmentation with biased conditions.

• Common adaptive weighted function is formulated for robust contour initialization.

• The Riemannian steepest descent method is introduced to reduce the processing time.

• The experimental analysis is performed on synthetic and real inhomogeneous images.

摘要

•A region-based model is proposed for image segmentation with biased conditions.•Common adaptive weighted function is formulated for robust contour initialization.•The Riemannian steepest descent method is introduced to reduce the processing time.•The experimental analysis is performed on synthetic and real inhomogeneous images.

论文关键词：Active contours,Biased conditions,Level set,Image segmentation

论文评审过程：Received 26 April 2020, Revised 23 January 2021, Accepted 28 February 2021, Available online 6 March 2021, Version of Record 24 March 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114811