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

DOI

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.

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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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  - Proceedings of the 2017 International Conference on Manufacturing Engineering and Intelligent Materials (ICMEIM 2017)
PB  - Atlantis Press
SP  - 222
EP  - 227
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmeim-17.2017.38
DO  - 10.2991/icmeim-17.2017.38
ID  - Du2017/02
ER  -