Automatic GrabCut color Image Segmentation Based on EM Algorithm

DOI

10.2991/iccmcee-15.2015.2How to use a DOI?

Keywords

GrabCut, Expectation Maximization, Color Clustering, Gaussian Mixture model

Abstract

This paper presents a color image segmentation method using modified GrabCut. GrabCut is considered as one of semi-automatic image segmentation techniques, since it needs user interaction to initialize segmentation process. To eliminate this inconvenience, this paper propose using Expectation Maximization Algorithm for Gaussian mixture model to replace the original initialization process and achieve automatic GrabCut. After experiment and analysis, this paper gives an evaluation over speed and accuracy, proves practicability of this modification and provide a set up for further improvement.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - XiaoQi Li
AU  - YeLi Li
AU  - YaLi Qi
PY  - 2015/11
DA  - 2015/11
TI  - Automatic GrabCut color Image Segmentation Based on EM Algorithm
BT  - Proceedings of the 2015 4th International Conference on Computer, Mechatronics, Control and Electronic Engineering
PB  - Atlantis Press
SP  - 6
EP  - 11
SN  - 2352-5401
UR  - https://doi.org/10.2991/iccmcee-15.2015.2
DO  - 10.2991/iccmcee-15.2015.2
ID  - Li2015/11
ER  -