Semi‐automatic object segmentation using colour invariance and Graph Cuts-Reference-Cited by-同舟云学术

Semi‐automatic object segmentation using colour invariance and Graph Cuts

Published:2014-02 Issue:2 Volume:8 Page:69-77
ISSN:1751-9667
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Yuan Xingsheng¹,Xiang Fengtao¹,Wang Zhengzhi¹

Affiliation:

1. College of Electronics and Automation, National University of Defense TechnologyChangsha410073People's Republic of China

Funder

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.2013.0154

Reference34 articles.

1. 2001 Proc. Int. Conf. Computer Vision Vancouver Canada Y.Y. Boykov M.‐P. Jolly Interactive graph cuts for optimal boundary & region segmentation of objects in N‐D images 105 112

2. 2010 Proc. IEEE Conf. Computer Vision and Pattern Recognition San Francisco USA T.H. Kim K.M. Lee S.U. Lee Nonparametric higher‐order learning for interactive segmentation 3201 3208

3. Computing geodesics and minimal surfaces via graph cuts

4. 2004 Proc. Euro. Conf. Computer Vision Prague Czech Republic A. Blake C. Rother M. Brown P. Perez P. Torr Interactive image segmentation using an adaptive GMMRF model 428 441

5. "GrabCut"

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