Medical Image Fusion Based on Wavelet Multi-Scale Decomposition - Journal of Signal and Information Processing

JSIP > Vol.4 No.2, May 2013

Journal of Signal and Information Processing

Volume 4, Issue 2 (May 2013)

ISSN Print: 2159-4465 ISSN Online: 2159-4481

Google-based Impact Factor: 1.19 Citations

Medical Image Fusion Based on Wavelet Multi-Scale Decomposition ()

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Download as PDF (Size: 179KB) PP. 218-221

DOI: 10.4236/jsip.2013.42029 4,761 Downloads 7,112 Views Citations

Author(s)

Huiping Zhu, Bin Wu, Peng Ren

Affiliation(s)

College of Information Engineering, Southwest University of Science and Technology, Mianyang, China.
College of Life Science and Engineering, Southwest University of Science and Technology, Mianyang, China..

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.

KEYWORDS

Wavelet Transform; Image Fusion; Regional Variance Improvement; Fusion Rule

Share and Cite:

Zhu, H. , Wu, B. and Ren, P. (2013) Medical Image Fusion Based on Wavelet Multi-Scale Decomposition. Journal of Signal and Information Processing, 4, 218-221. doi: 10.4236/jsip.2013.42029.

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