Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications

Improvement of Image Matching Method based on Gray Value and Contracting Mapping Principle

Authors
Yuncong Sun, Zongshun Hu
Corresponding Author
Yuncong Sun
Available Online January 2017.
DOI
10.2991/icmmita-16.2016.145How to use a DOI?
Keywords
gray value; contracting mapping principle; fixed point
Abstract

General image matching method is faced with many problems like the selection of template and mismatching. In order to solve these problems, in this paper, general image matching method is improved based on contracting mapping principle, matching is implemented by finding the fixed point between images. The validity of the method is verified through experiments.The result shows that the improved method has higher accuracy, can avoid mismatching problem occurring in general method.

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 2016 4th International Conference on Machinery, Materials and Information Technology Applications
Series
Advances in Computer Science Research
Publication Date
January 2017
ISBN
10.2991/icmmita-16.2016.145
ISSN
2352-538X
DOI
10.2991/icmmita-16.2016.145How 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  - Yuncong Sun
AU  - Zongshun Hu
PY  - 2017/01
DA  - 2017/01
TI  - Improvement of Image Matching Method based on Gray Value and Contracting Mapping Principle
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 778
EP  - 782
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-16.2016.145
DO  - 10.2991/icmmita-16.2016.145
ID  - Sun2017/01
ER  -