Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)

An Fast Refined Algorithm for Image Mosaic

Authors
Yuping Feng, Wencang Zhao
Corresponding Author
Yuping Feng
Available Online February 2013.
DOI
10.2991/isccca.2013.40How to use a DOI?
Keywords
image mosaic, corner detection, RANSAC, image fusion
Abstract

In order to improve accuracy and speed of image mosaic, an optimized algorithm of image mosaic based on corners is presented. Frequency phase correlation is used to estimate the overlapping area, in which improved Harris operator is used to extract corners. Then, rough and RANSAC accurate matching will be completed. Finally, image variance combined linear weight function is used to implemented image fusion and mosaic, and it presents quantitative analysis method about registration accuracy. Experimental results show that this algorithm exceeds existing ones at matching speed about 40 , and has a desired visual effect. The MAD and RMSE of corresponding points is within 1 pixel precision.

Copyright
© 2013, 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 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)
Series
Advances in Intelligent Systems Research
Publication Date
February 2013
ISBN
10.2991/isccca.2013.40
ISSN
1951-6851
DOI
10.2991/isccca.2013.40How to use a DOI?
Copyright
© 2013, 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  - Yuping Feng
AU  - Wencang Zhao
PY  - 2013/02
DA  - 2013/02
TI  - An Fast Refined Algorithm for Image Mosaic
BT  - Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)
PB  - Atlantis Press
SP  - 160
EP  - 162
SN  - 1951-6851
UR  - https://doi.org/10.2991/isccca.2013.40
DO  - 10.2991/isccca.2013.40
ID  - Feng2013/02
ER  -