Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)

An Automatic Registration of UV Images

Authors
Chuanying Wang, Jixiang Sun
Corresponding Author
Chuanying Wang
Available Online August 2012.
DOI
10.2991/iccasm.2012.227How to use a DOI?
Keywords
UV image, image registration, SURF, RSA, least square method
Abstract

Corona discharge which occurs on high voltage equipment has being detected by Ultraviolet (UV) imaging technology for these years. Image processing technique is essential for UV detection. Image registration technique is one of important methods for image processing. It is useful for further pattern segment of UV images and recognition study by image registration. In this paper, an image registration approach based on SURF (Speed Up Robust Features) is proposed. Firstly, the feature points were extracted using SURF; then the mapping relationship between images could be achieved using RSA(Random Sampling Algorithm ) and least square method; finally, transform parameter matrix could be established. The result of experiments shows that our method can achieve accuracy and practicability.

Copyright
© 2012, 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 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
Series
Advances in Intelligent Systems Research
Publication Date
August 2012
ISBN
10.2991/iccasm.2012.227
ISSN
1951-6851
DOI
10.2991/iccasm.2012.227How to use a DOI?
Copyright
© 2012, 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  - Chuanying Wang
AU  - Jixiang Sun
PY  - 2012/08
DA  - 2012/08
TI  - An Automatic Registration of UV Images
BT  - Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
PB  - Atlantis Press
SP  - 890
EP  - 893
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasm.2012.227
DO  - 10.2991/iccasm.2012.227
ID  - Wang2012/08
ER  -