Photorealistic Computer Graphics Identifying Algorithm based on Edge Detection
- 10.2991/ameii-15.2015.15How to use a DOI?
- Photorealistic Computer Graphics; natural image; Image Authenticity; SVM
As for the problem the image can be generated by computer software, so that we cannot recognize the authenticity of these images using our eyes. In this paper by analyzing the differences between photorealistic computer graphics and natural image on image texture, we put forward a photorealistic computer graphics identifying algorithm based on edge detection. Image gradient can describe the details of the image and then we extract the feature value according to details of the image. The last we use SVM classifier to classify. The results show that the presented method can not only identify the photorealistic computer graphics and natural image but also have better identification rate.
- © 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/).
Cite this article
TY - CONF AU - Lin Deng AU - Changming Liu AU - Haiyu Li PY - 2015/04 DA - 2015/04 TI - Photorealistic Computer Graphics Identifying Algorithm based on Edge Detection BT - Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics PB - Atlantis Press SP - 90 EP - 93 SN - 2352-5401 UR - https://doi.org/10.2991/ameii-15.2015.15 DO - 10.2991/ameii-15.2015.15 ID - Deng2015/04 ER -