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Medical Image Fusion Based on Wavelet Multi-Scale Decomposition
College of Information Engineering, Southwest University of Science and Technology, Mianyang, China
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.
- 1 College of Information Engineering, Southwest University of Science and Technology, Mianyang, China
- 2 College of Information Engineering, Southwest University of Science and Technology, Mianyang, China
- 3 College of Life Science and Engineering, Southwest University of Science and Technology, Mianyang, China.
Journal of Signal and Information Processing·Volume 04 (2013)·Pages 218–221·Published 8 May 2013·DOI10.4236/jsip.2013.42029
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Abstract
This paper describes a method to decompose multi-scale information from different source medical image using wave let 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.
KeywordsWavelet TransformImage FusionRegional Variance ImprovementFusion Rule
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