Deakin home > Deakin University Library > Deakin Research Online > Feature-based image fusion quality metrics

Feature-based image fusion quality metrics

Hossny, Mohammed, Nahavandi, Saeid and Creighton, Doug 2008, Feature-based image fusion quality metrics, in ICIRA 2008 : Proceedings of the 1st International Conference on Intelligent Robotics and Applications 2008, Springer Berlin, Heidelberg, Germany, pp. 469-478.

Attached Files (Some files may be inaccessible until you login with your Deakin Research Online credentials)
Name Description MIMEType Size Downloads

Title Feature-based image fusion quality metrics
Author(s) Hossny, Mohammed
Nahavandi, Saeid
Creighton, Doug
Conference name International Conference on Intelligent Robotics and Applications (1st : 2008 : Wuhan, China)
Conference location Berlin, Germany
Conference dates 15-17 October 2008
Title of proceedings ICIRA 2008 : Proceedings of the 1st International Conference on Intelligent Robotics and Applications 2008
Editor(s) [Unknown]
Publication date 2008
Series Lecture Notes in Computer Science. v.5314/2008
Conference series International Conference on Intelligent Robotics and Applications
Start page 469
End page 478
Publisher Springer Berlin
Place of publication Heidelberg, Germany
Summary Image fusion quality metrics have evolved from image processing quality metrics. They measure the quality of fused images by estimating how much localized information has been transferred from the source images into the fused image. However, this technique assumes that it is actually possible to fuse two images into one without any loss. In practice, some features must be sacrificed and relaxed in both source images. Relaxed features might be very important, like edges, gradients and texture elements. The importance of a certain feature is application dependant. This paper presents a new method for image fusion quality assessment. It depends on estimating how much valuable information has not been transferred.
ISBN 9783540898993
9783540885122
ISSN 0302-9743
1611-3349
Language eng
Field of Research 080106 Image Processing
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2008, Springer-Verlag Berlin Heidelberg
Persistent URL http://hdl.handle.net/10536/DRO/DU:30017706

Document type: Conference Paper
Collection: School of Engineering and Information Technology
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in Deakin Research Online is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: Scopus Citation Count Cited 2 times in Scopus
Access Statistics: 455 Abstract Views, 1 File Downloads  -  Detailed Statistics
Created: Fri, 14 Aug 2009, 13:56:17 EST