A New Adaptive Image Fusion Technique of CT and MRI Images Based on Dual-Tree Complex Wavelet Transform

Ling Yan Du; Yin Jie; Zhan Xu

doi:10.4028/www.scientific.net/AMM.411-414.1189

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 411-414A New Adaptive Image Fusion Technique of CT and...

A New Adaptive Image Fusion Technique of CT and MRI Images Based on Dual-Tree Complex Wavelet Transform

Abstract:

In this paper, a new adaptive images fusion algorithm is presented for CT and MRI based on DT-CWT. For fusion, all the source images are decomposed into low and high frequency sub-bands, and then the fusion of low frequency is done by means of Principal Component Analysis (PCA) while for high frequency regional energy algorithm is used. Experiment are carried out on a number of CT and MRT images, results show that the DT-CWT method is better than that of DWT method in terms of quality measures PSNR, NCC and image visual quality.

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Periodical:

Applied Mechanics and Materials (Volumes 411-414)

Pages:

1189-1192

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.411-414.1189

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Online since:

September 2013

Authors:

Ling Yan Du, Yin Jie, Zhan Xu

Keywords:

Discrete Wavelet Transform (DWT), Dual-Tree Complex Wavelet Transform, Image Fusion, Principal Component Analysis (PCA)

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