Image segmentation using a unified Markov random field model
Author:
Affiliation:
1. Library, Henan UniversityKaifeng475000People's Republic of China
2. School of Mathematics and Statistics, Henan UniversityKaifeng475000People's Republic of China
Funder
China Scholarship Council
National Natural Science Foundation of China
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2016.1070
Reference47 articles.
1. Multilabel statistical shape prior for image segmentation
2. Image fuzzy clustering based on the region‐level Markov random field model;Liu G.Y.;IEEE Geosci. Remote Sens. Lett.,2015
3. Minimisation of local within‐class variance for image segmentation;Zhou D.G.;IET Image Process.,2016
4. Ontology-Based Semantic Image Segmentation Using Mixture Models and Multiple CRFs
5. An approach to streaming video segmentation with sub‐optimal low‐rank decomposition;Li C.L.;IEEE Trans. Image Process.,2016
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