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Published Articles >> Table of Contents >> Abstract
First International Conference on Innovative Computing, Information and Control - Volume II (ICICIC'06)
pp. 701-704
Image Fusion Algorithm Assessment Based on Feature Measurement
Jiying Zhao, University of Ottawa, Canada
Robert Laganiere, University of Ottawa, Canada
Zheng Liu, National Research Council Canada, Canada
Full Article Text:
 
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICICIC.2006.296
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| Abstract |
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This paper presents a new metric to assess the performance
of the image fusion algorithm. The proposed metric
is based on image phase congruency, which provides an absolute
measurement of image feature with a numeric value
ranging from zero to one. By comparing the local crosscorrelation
of corresponding phase congruence maps of input
images and fusion output, the quality of the fused result
is assessable without a perfect reference. The preliminary
experimental results on multi-focused image pairs demonstrate
the efficiency of this approach.
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 Additional Information
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Citation:
Jiying Zhao, Robert Laganiere, Zheng Liu,
"Image Fusion Algorithm Assessment Based on Feature Measurement,"
icicic,
pp. 701-704,
First International Conference on Innovative Computing, Information and Control - Volume II (ICICIC'06),
2006
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