Title
A spatially constrained asymmetric Gaussian mixture model for image segmentation
Abstract
•We proposed anisotropic spatial information to reduce the effect of noise and preserve more details.•We use skew normal mixture model to fit the intensity distributions of the images with asymmetric form.•Our method can obtain more accurate results.
Year
DOI
Venue
2021
10.1016/j.ins.2021.06.034
Information Sciences
Keywords
DocType
Volume
Skew normal distribution,Anisotropic spatial information,Nonlocal spatial information,EM algorithm
Journal
575
ISSN
Citations 
PageRank 
0020-0255
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Yunjie Chen101.35
Ning Cheng216.76
Mao Cai300.34
Chunzheng Cao401.01
Jianwei Yang55812.73
Zhi-Chao Zhang600.68