Image identification based on ARMA model
Authors
Ya-Qiong Yan, Cai-Cheng Shi, Zhi-Yi He
Corresponding Author
Ya-Qiong Yan
Available Online December 2016.
- DOI
- 10.2991/eeeis-16.2017.34How to use a DOI?
- Keywords
- Image Identification; ARMA model; Residuals.
- Abstract
An image identification method based on ARMA model is introduced in this paper. Firstly, build the ARMA model for the most common image of a certain kind and then make predictions for the image to be distinguished line by line, and calculate the high order statistics of the residuals at the same time. The simulation results show that according to the high order statistical properties of the residual, different kinds of images could be distinguished and the specific area represented by the model could be located in the image.
- 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 - Ya-Qiong Yan AU - Cai-Cheng Shi AU - Zhi-Yi He PY - 2016/12 DA - 2016/12 TI - Image identification based on ARMA model BT - Proceedings of the 2nd Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS 2016) PB - Atlantis Press SP - 253 EP - 262 SN - 2352-5401 UR - https://doi.org/10.2991/eeeis-16.2017.34 DO - 10.2991/eeeis-16.2017.34 ID - Yan2016/12 ER -