Proceedings of the International Conference on Education, Management, Commerce and Society

Target Segmentation Algorithm Based on the Discrete Energy Functional

Authors
Zhiping Wan
Corresponding Author
Zhiping Wan
Available Online January 2015.
DOI
10.2991/emcs-15.2015.32How to use a DOI?
Keywords
Segmentation algorithm; Discretization; Energy functional; Object extraction
Abstract

Existing segmentation algorithm has the segmentation problem that is vulnerable to background noise and low accuracy. In order to address this problem, the discrete Technology is used in this research. And the target segmentation algorithm is based on discrete energy functional. It is effectively reduce the complexity and accuracy, which using discrete processing of the regional items and contour curve. Experimental results indicate that article algorithm can be maintained a good target extraction in the case of the target and the background which gradually increasing similarity. And the preponderance of article algorithm can be found through correctness and time-consuming experiment.

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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Volume Title
Proceedings of the International Conference on Education, Management, Commerce and Society
Series
Advances in Social Science, Education and Humanities Research
Publication Date
January 2015
ISBN
10.2991/emcs-15.2015.32
ISSN
2352-5398
DOI
10.2991/emcs-15.2015.32How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Zhiping Wan
PY  - 2015/01
DA  - 2015/01
TI  - Target Segmentation Algorithm Based on the Discrete Energy Functional
BT  - Proceedings of the International Conference on Education, Management, Commerce and Society
PB  - Atlantis Press
SP  - 150
EP  - 154
SN  - 2352-5398
UR  - https://doi.org/10.2991/emcs-15.2015.32
DO  - 10.2991/emcs-15.2015.32
ID  - Wan2015/01
ER  -