Title
A level set method based on additive bias correction for image segmentation
Abstract
•The proposed additive bias correction theory define the local clustering criterion.•The local and global clustering criterion is computed based on level set method.•The bias field and reflection edge are computed through minimizing energy function.•A new de-parameterized regularization function and adaptive function are designed.•The proposed model shows better segmentation speed and accuracy.
Year
DOI
Venue
2021
10.1016/j.eswa.2021.115633
Expert Systems with Applications
Keywords
DocType
Volume
Image segmentation,Intensity inhomogeneity,Additive bias correction,Reflectance image,Level set method
Journal
185
ISSN
Citations 
PageRank 
0957-4174
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Guirong Weng1161.60
Bin Dong226130.04
Yu Lei301.35