No-Reference Image Mosaicing Method Based on the Generalized Evidence Theory
Authors
Yi She, Junjie Wu, Xin Chen, Guoqing Ding, Lihua Lei, Xiaoyu Cai, Jiasi Wei
Corresponding Author
Yi She
Available Online January 2017.
- DOI
- 10.2991/icmmita-16.2016.237How to use a DOI?
- Keywords
- No-Reference; Image Mosaicing; Generalized Evidence Theory; Mean Structural Similarity
- Abstract
No-reference image quality assessment is the future research direction in the field of image evaluation. A new no-reference image quality assessment based on the generalized evidence theory was proposed in this paper in order to deal with the measuring problem of the large scale samples under the optical microscope. The generalized basic probability assignment was generated by the triangular fuzzy numbers, based on the mean structural similarity. The decision was obtained by fusing the basic probability assignment with the generalized evidence theory.
- Copyright
- © 2017, 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 - Yi She AU - Junjie Wu AU - Xin Chen AU - Guoqing Ding AU - Lihua Lei AU - Xiaoyu Cai AU - Jiasi Wei PY - 2017/01 DA - 2017/01 TI - No-Reference Image Mosaicing Method Based on the Generalized Evidence Theory BT - Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications PB - Atlantis Press SN - 2352-538X UR - https://doi.org/10.2991/icmmita-16.2016.237 DO - 10.2991/icmmita-16.2016.237 ID - She2017/01 ER -