Proceedings of the 2017 International Conference on Manufacturing Engineering and Intelligent Materials (ICMEIM 2017)

Multi-focus Image Fusion Algorithm Based On Prewitt Edge Detect Information Motivated PCNN

Authors
Chao-ben Du, She-sheng Gao
Corresponding Author
Chao-ben Du
Available Online February 2017.
DOI
https://doi.org/10.2991/icmeim-17.2017.38How to use a DOI?
Keywords
Prewitt, PCNN, Image Fusion
Abstract
In this paper, a novel prewitt edges operator information in spatial domain is employed as one type of feature to motivate pulse coupled neural networks (PCNN) is proposed, according to humans are often sensitive to edges and directional features. Furthermore, blocked edges information measurement is employed to reduce the computing complexity. Experimental results on subjective and objective evaluation criterion demonstrate that the Prewitt edge operator information Motivated PCNN(Prewitt-PCNN) outperforms typical SML-CT,SF-NSCT-PCNN NSCT and SCBG fusion algorithms.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
2017 International Conference on Manufacturing Engineering and Intelligent Materials (ICMEIM 2017)
Part of series
Advances in Engineering Research
Publication Date
February 2017
ISBN
978-94-6252-317-3
ISSN
2352-5401
DOI
https://doi.org/10.2991/icmeim-17.2017.38How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Chao-ben Du
AU  - She-sheng Gao
PY  - 2017/02
DA  - 2017/02
TI  - Multi-focus Image Fusion Algorithm Based On Prewitt Edge Detect Information Motivated PCNN
BT  - 2017 International Conference on Manufacturing Engineering and Intelligent Materials (ICMEIM 2017)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmeim-17.2017.38
DO  - https://doi.org/10.2991/icmeim-17.2017.38
ID  - Du2017/02
ER  -