Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science

Substation Remote Viewing Image Mosaic based on Canny Operator and Harris Corner Detection

Authors
Yufan Wang
Corresponding Author
Yufan Wang
Available Online July 2015.
DOI
10.2991/lemcs-15.2015.266How to use a DOI?
Keywords
Substation remote video monitoring system; Image mosaic; Canny operator; Harris corner detection
Abstract

In order to improve the effect of substation operation remote video monitoring system, a new image mosaic method based on Canny operator and Harris corner detection is presented. Firstly, the edge feature points from two images are extracted by Canny edge detection; secondly, the corner feature points are extracted by Harris corner detection based on edge images; thirdly, the corresponding feature point pairs are got by the normalized cross correlation method around the corner feature points; finally, the images can be stitched by matched corner feature point pairs. The experiment of remote viewing image mosaic in substation shows that this method can achieve image mosaic effectively and it will be benefited to improve the safety and reliability of substation operation.

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 Logistics, Engineering, Management and Computer Science
Series
Advances in Intelligent Systems Research
Publication Date
July 2015
ISBN
10.2991/lemcs-15.2015.266
ISSN
1951-6851
DOI
10.2991/lemcs-15.2015.266How 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  - Yufan Wang
PY  - 2015/07
DA  - 2015/07
TI  - Substation Remote Viewing Image Mosaic based on Canny Operator and Harris Corner Detection
BT  - Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science
PB  - Atlantis Press
SP  - 1332
EP  - 1336
SN  - 1951-6851
UR  - https://doi.org/10.2991/lemcs-15.2015.266
DO  - 10.2991/lemcs-15.2015.266
ID  - Wang2015/07
ER  -