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Matching of infrared and visible images

Authors: Junshan Li; Lihui Sun; Shijie Zhang; Wei Yang; Rui Wang; Zhi Geng;

Matching of infrared and visible images

Abstract

A new matching method based on improved Nonsubsampled contourlet transform (NSCT) is put forward to solve the problem of low matching precision in matching of infrared and visible images. Firstly, improved NSCT is introduced; then, improved NSCT disassembly is done; next, energy at each little region is calculated to compose circumcircle. Finally, the nearest adjacent matching is done to finish precise matching. Experimental results show that the algorithm is effective.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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