Medical Image Fusion Based on Wavelet Multi-Scale Decomposition

Abstract Full-Text HTML Download Download as PDF (Size:179KB) PP. 218-221
DOI: 10.4236/jsip.2013.42029    4,100 Downloads   5,940 Views   Citations

ABSTRACT

This paper describes a method to decompose multi-scale information from different source medical image using wavelet transformation. The data fusion between CT image and MRI image is implemented based on the coefficients fusion rule which included choice of regional variance and weighted average wavelet information. The result indicates that this method is better than WMF, LEF and RVF on fusion results, details and target distortion.

Cite this paper

H. Zhu, B. Wu and P. Ren, "Medical Image Fusion Based on Wavelet Multi-Scale Decomposition," Journal of Signal and Information Processing, Vol. 4 No. 2, 2013, pp. 218-221. doi: 10.4236/jsip.2013.42029.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] S. G. Mallat, “A Theory for Multiresolution Signal Decomposition: The Wavelet Representation,” IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. 11, No. 7, 1989, pp. 674-693. doi:10.1109/34.192463
[2] T. N. T. Goodman and S. L. Lee, “Wavelets of Multiplicity,” Transactions of the American Mathematical Society, Vol. 342, No. 1, 1994, pp. 307-324.
[3] H. Li, B. S. Manjunath and S. K. Mitra, “Multisensor Image Fusion Using the Wavelet Transform,” Graphical Models and Image Processing, Vol. 57, No. 3, 1995, pp. 235-245. doi:10.1006/gm ip.1995.1022
[4] C. Y. Wen and J. K. Chen, “Multi-Resolution Image Fusion Technique and Its Application to Forensic Science,” Forensic Science International, Vol. 140, No. 2, 2004, pp. 217-232. doi:10.1016/j. forsciint.2003.11.034
[5] W. J. Wang, P. Tang and C. G. Zhu, “A Wavelet Transform Based Image Fusion Method,” Journal of Image and Graphics, Vol. 6A, No. 11, 2001, pp. 1130-1134.
[6] G. Piella, “New Quality Measures for Image Fusion,” The 7th International Conference on Information Fusion, 2004, pp. 542-546.

  
comments powered by Disqus

Copyright © 2020 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.