Central-Type Fusion-based Methods for Degraded Image Understanding
Cui Zhang, Xiu jun Zhang, Sheng ying Zhao, Li na Shang, Kai Xiong
Available Online August 2013.
- https://doi.org/10.2991/icacsei.2013.35How to use a DOI?
- Degraded image, Dempster-Shafer evidence theory, Central-Type Fusion, Target recogniton
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013) PB - Atlantis Press SN - 1951-6851 UR - https://doi.org/10.2991/icacsei.2013.35 DO - https://doi.org/10.2991/icacsei.2013.35 ID - Zhang2013/08 ER -