Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)

Geometric Flow and Bandelet Coefficient Combining Method is Applied to Image Fusion

Authors
ManTian Zhong
Corresponding Author
ManTian Zhong
Available Online April 2017.
DOI
10.2991/icmmct-17.2017.164How to use a DOI?
Keywords
The Combination of Geometric Flow and Bandelet Coefficients, Image Fusion, Bandelet Transform
Abstract

In order to explore and test the geometric flow and Bandelet coefficient combining method is applied to image fusion effect, in this thesis, on the basis of the Bandelet transform theory, with the help of Beamlab200 toolbox and Matlab platform, using construct geometric flow and Bandelet coefficients combining method and computer simulation method, from the simulation experiment it is concluded that the method in the aspect of image fusion at run time, convergence speed, standard deviation, signal-to-noise ratio and gradient more superior than Beamlab200 toolbox methods.

Copyright
© 2017, 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 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
978-94-6252-318-0
ISSN
2352-5401
DOI
10.2991/icmmct-17.2017.164How to use a DOI?
Copyright
© 2017, 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  - ManTian Zhong
PY  - 2017/04
DA  - 2017/04
TI  - Geometric Flow and Bandelet Coefficient Combining Method is Applied to Image Fusion
BT  - Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
PB  - Atlantis Press
SP  - 810
EP  - 813
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-17.2017.164
DO  - 10.2991/icmmct-17.2017.164
ID  - Zhong2017/04
ER  -