An Adaptive Target Extraction Algorithm Based on Energy Functional

DOI

10.2991/emcs-15.2015.33How to use a DOI?

Keywords

Segmentation algorithm; Energy functional; Probability plots; Profile; Target

Abstract

Objective: Solve the problem that was the low extract accuracy of existing target extraction algorithm. Methods: Proposes an adaptive object extraction algorithm based on energy functional. Article algorithm was defined the average item and the contour curve for the energy functional, which combining with the probability graph and differential geometry. At final, we would be getting the adaptive energy functional. Results: Article algorithm can effectively extract the target contour. And it is not affected by the background signal. Conclusion: From the contour detection experiments and algorithms comparative experiments, we can see that the algorithm can accurately extract the desired signal. Simultaneously, it can maintain a higher visual for the target.

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  - Weichuan Ni
AU  - Weijian Mo
PY  - 2015/01
DA  - 2015/01
TI  - An Adaptive Target Extraction Algorithm Based on Energy Functional
BT  - Proceedings of the International Conference on Education, Management, Commerce and Society
PB  - Atlantis Press
SP  - 155
EP  - 159
SN  - 2352-5398
UR  - https://doi.org/10.2991/emcs-15.2015.33
DO  - 10.2991/emcs-15.2015.33
ID  - Ni2015/01
ER  -