Central-Type Fusion-based Methods for Degraded Image Understanding

DOI

10.2991/icacsei.2013.35How to use a DOI?

Keywords

Degraded image, Dempster-Shafer evidence theory, Central-Type Fusion, Target recogniton

Abstract

Information fusion in target recognition is widely used, and application of information fusion in image field is developing continuously. When the degraded image is acquired, we often use the clearness algorithm to enhance image quality, Then the image of the target is identified, due to the lack of clarity of the image itself, the recognition accuracy is not high. Using a fusion rule of Dempster-Shafer evidence theory, the recognition algorithm of different posterior credibility is fusion, in order to get better recognition effect. This paper provides a fusion method for target recognition, the target exists in the degraded image. the fusion method is based on Central-Type algorithm of DS evidence theory. The results show that the method can improve the probability of correct recognition, reduce the error probability.

Copyright

© 2013, 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  - Cui Zhang
AU  - Xiu jun Zhang
AU  - Sheng ying Zhao
AU  - Li na Shang
AU  - Kai Xiong
PY  - 2013/08
DA  - 2013/08
TI  - Central-Type Fusion-based Methods for Degraded Image Understanding
BT  - Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)
PB  - Atlantis Press
SP  - 143
EP  - 145
SN  - 1951-6851
UR  - https://doi.org/10.2991/icacsei.2013.35
DO  - 10.2991/icacsei.2013.35
ID  - Zhang2013/08
ER  -