Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics

Photorealistic Computer Graphics Identifying Algorithm based on Edge Detection

Authors
Lin Deng, Changming Liu, Haiyu Li
Corresponding Author
Lin Deng
Available Online April 2015.
DOI
10.2991/ameii-15.2015.15How to use a DOI?
Keywords
Photorealistic Computer Graphics; natural image; Image Authenticity; SVM
Abstract

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.

Copyright
© 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/).

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Volume Title
Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics
Series
Advances in Engineering Research
Publication Date
April 2015
ISBN
978-94-62520-69-1
ISSN
2352-5401
DOI
10.2991/ameii-15.2015.15How to use a DOI?
Copyright
© 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  -