Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)

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Fast Image Matching Algorithm Based on Pixel Gray Value

Authors
Jiawei Hu
Corresponding Author
Jiawei Hu
Available Online April 2017.
DOI
10.2991/fmsmt-17.2017.166How to use a DOI?
Keywords
Pixel Gray Value , Normalized Cross Correlation , Pyramid Hierarchical Search.
Abstract

Image matching technology is based on the template image in the search for the corresponding or similar target process in other images,which is a very important technology in the field of image information processing.In this paper, we use the matching algorithm based on pixel gray value, where the template matching method adopts normalized cross correlation(NCC) matching method, and adopt image pyramid hierarchical search strategy to improve the speed of image matching to achieve fast image matching.The algorithm is implemented by MATLAB software,and the results show that the method is feasible.

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 Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
10.2991/fmsmt-17.2017.166
ISSN
2352-5401
DOI
10.2991/fmsmt-17.2017.166How 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

risenwbib
TY  - CONF
AU  - Jiawei Hu
PY  - 2017/04
DA  - 2017/04
TI  - Fast Image Matching Algorithm Based on Pixel Gray Value
BT  - Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
PB  - Atlantis Press
SP  - 863
EP  - 866
SN  - 2352-5401
UR  - https://doi.org/10.2991/fmsmt-17.2017.166
DO  - 10.2991/fmsmt-17.2017.166
ID  - Hu2017/04
ER  -