Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)

Correlation and Convolution Image Filtering Application Analysis

Authors
Xihu Zhi, Shengli Jiang
Corresponding Author
Xihu Zhi
Available Online April 2017.
DOI
10.2991/emim-17.2017.35How to use a DOI?
Keywords
Correlation; Convolution; Image filter; Boundary points expansion; Filter function redundancy
Abstract

Correlation and convolution are two mathematical operations commonly used in image filtering. This article aims to provide real case analysis to clear the confusions associated with what correlation and convolution essentially are, how to process the boundary points in image processing using correlation and convolution, and how different processing methods affect the result. The redundancy among the common functions in MATLAB image processing using correlation and convolution operations will also be demonstrated here.

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 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)
Series
Advances in Computer Science Research
Publication Date
April 2017
ISBN
978-94-6252-356-2
ISSN
2352-538X
DOI
10.2991/emim-17.2017.35How 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  - Xihu Zhi
AU  - Shengli Jiang
PY  - 2017/04
DA  - 2017/04
TI  - Correlation and Convolution Image Filtering Application Analysis
BT  - Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)
PB  - Atlantis Press
SP  - 162
EP  - 166
SN  - 2352-538X
UR  - https://doi.org/10.2991/emim-17.2017.35
DO  - 10.2991/emim-17.2017.35
ID  - Zhi2017/04
ER  -