An Image Registration Method Based on Wavelet Transform and Ant Colony Optimization
Abstract: Image registration,
as one of the basic tasks of image processing, is the process to register two images
about the same objective or background which are acquired in different times,
different sensors,different perspectives and different shooting conditions. In
the image registration, because of the problems that the image information is
complicated, they have strong correlation and incompleteness, inaccuracy and
non-construction occur in different levels in the processing, to apply the
method of computationalintelligence information processing in the image
registration can have better results than the traditional computation methods.
This paper proposes an image registration method based on wavelet decomposition
and ant colony optimization, which divides the process of image registration
into coarse registration andrefined registration through wavelet decomposition
technique. In the coarse registration, the transformation parameter value of
the image approximation component is acquired through ant colony optimization
whilethe changing parameter value of the original image is obtained by the ant
colony search method in the refined registration. The simulation experiment
shows that this registration method has the characteristics of anti-noise, fast
speed, high accuracy and high registration success rate.
Author: Dapeng Zhang, Jiayan
Li
Journal Code: jptkomputergg150085
Artikel Terkait :
Jp Teknik Komputer gg 2015
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