Image Segmentation Using Iterated Graph Cuts Based on Multi-scale Smoothing

2007 ◽  
pp. 806-816 ◽  
Author(s):  
Tomoyuki Nagahashi ◽  
Hironobu Fujiyoshi ◽  
Takeo Kanade
Keyword(s):  
Image Segmentation ◽  
Graph Cuts ◽  
Multi Scale

scholarly journals Automatic lumbar spinal MRI image segmentation with a multi-scale attention network

2021 ◽  
Author(s):  
Haixing Li ◽  
Haibo Luo ◽  
Wang Huan ◽  
Zelin Shi ◽  
Chongnan Yan ◽  
...  
Keyword(s):  
Image Segmentation ◽  
Attention Network ◽  
Multi Scale ◽  
Spinal Mri ◽  
Lumbar Spinal ◽  
Mri Image

Image Segmentation by Pre-Labeling Based on Part-Based Model

2014 ◽  
Vol 556-562 ◽  
pp. 4206-4210
Author(s):  
Wei Liu ◽  
Xue Jun Xu
Keyword(s):  
Image Segmentation ◽  
Accurate Result ◽  
Graph Cuts ◽  
Interactive Segmentation ◽  
Seed Point ◽  
Bounding Box ◽  
Compact Shape

Interactive segmentation with graph cuts has become very popular and many priors have been introduced into graph cuts to improve the results. This paper proposed a method which uses the deformable part-based model to pre-label the seeds. First the deformable part-based model finds out the bounding box, then we can pre-label the seed point based on the assumption of compact shape. Our results show that our method can get more accurate result especially the appearance of the object and background are similar and the shape is compact.

Unsupervised color image segmentation using graph cuts with multi-components

2013 ◽  
Author(s):  
Lei Li ◽  
Lianghai Jin ◽  
Enmin Song ◽  
Zhuoli Dong
Keyword(s):  
Image Segmentation ◽  
Color Image ◽  
Graph Cuts ◽  
Color Image Segmentation

Interactively multiphase image segmentation based on variational formulation and graph cuts

2010 ◽  
Vol 43 (10) ◽  
pp. 3208-3218 ◽  
Author(s):  
Wenbing Tao ◽  
Feng Chang ◽  
Liman Liu ◽  
Hai Jin ◽  
Tianjiang Wang
Keyword(s):  
Image Segmentation ◽  
Variational Formulation ◽  
Graph Cuts
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