Research Article | OPEN ACCESS
Infrared and Low-Light-Level Image Fusion Quality Evaluation Based on the Grey Correlation Analysis
Weipeng Zhang
Department of Mechanical and Electrical Engineering, Ningbo Dahongying University,
Ningbo 315000, China
Research Journal of Applied Sciences, Engineering and Technology 2013 10:2902-2907
Received: August 21, 2012 | Accepted: September 17, 2012 | Published: March 25, 2013
Abstract
In this study, we evaluate comprehensively the indexes of the five image fusion algorithms through the analysis of grey correlation degree. The result shows: HIS transform method shows a better correlation and the fusion image has the best quality; followed by the component transform method, wavelet transform method, weighed average method with an average fusion image quality and pyramid method shows a relatively poor fusion image.
Keywords:
Algorithm evaluation, grey correlation degree, image fusion,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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