This is a Matlab implementation of our paper: Weng Guirong et al. 'A level set method based on additive bias correction for image segmentation'. Expert Systems With Applications 185 (2021) 115633.
In this paper, an additive bias correction (ABC) model based on intensity inhomogeneity is proposed.The model divides the observed image into three parts: additive bias function,reflection edge structure function and Gaussian noise.
Model theory: Image observed I(x), i(x) =log(I(x), i(x) = b(x) + r(x) + n(x);
matlab code --- Demo_ABC.m, ABC_Switch.m, ABC_2D.m
A: the bias field b is supposed to be varying smoothly,
B: the spatial derivatives of the observed intensity are mostly due to edges in the reflectance r.
C: n is additive noise, The additive noise n can be assumed to be zero-mean Gaussian noise.
D: b is assumed to be piecewise (approximately)constant in a local region.
% ------------------------------------------------------------------------------------------------------------------
인용 양식
Guirong Weng (2024). A level set method based on additive bias correction (https://www.mathworks.com/matlabcentral/fileexchange/96947-a-level-set-method-based-on-additive-bias-correction), MATLAB Central File Exchange. 검색됨 .
MATLAB 릴리스 호환 정보
개발 환경:
R2017a
모든 릴리스와 호환
플랫폼 호환성
Windows macOS Linux태그
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!