Brian Image Fusion of MRI-CT Multimodality Systems Using DWT and Hybrid Enhancement Fusion Algorithms | ||
| Journal of University of Babylon | ||
| Article 1, Volume 20, Issue 1, February 2012, Pages 258-269 | ||
| Author | ||
| Amir Fareed Partu Al-Bakrei | ||
| Abstract | ||
| This paper focus on the fusion of the enhancement brain images come from different multimodality systems ((Magnetic Resonance Image, MRI) and (Computed Tomography, CT Scanner)) at the same position section and dimension. The Two-Dimension of Discrete Wavelet Transform and Inverse Discrete Wavelet Transform theories of Daubechies 2 used to separate the low and high frequencies of the taken images and the sophisticate hybrid enhancement fusion algorithm used pixel by pixel maximum selection rule, for approximate information (low frequency) and details information (high frequency) which was enhancement by (unsharp masking filter), which were programmed in MATLAB to get more information image, So the decision of Physician will be more accuracy in the diagnostic diseases field. | ||
| Keywords | ||
| Discrete Wavelet Transform; Hybrid Enhancement Fusion Algorithms; unsharp masking filter; Maximum Selection Rule and MATLAB M; File | ||
|
Statistics Article View: 168 PDF Download: 56 |
||