Efficient Fusion Scheme for Multi-Modality Images | ||
| Menoufia Journal of Electronic Engineering Research | ||
| Article 64, Volume 28, ICEEM2019-Special Issue, 2019, Pages 269-274 | ||
| Document Type: Original Article | ||
| DOI: 10.21608/mjeer.2019.77377 | ||
| Authors | ||
| Zeinab Z. El Kareh1; Ghada M. El Banby, Essam Emadbouly2 | ||
| 1Menoufia University Faculty Of Electronic Engineering, Menouf Department Of Electronics And Communications Engineering menoufiya, MENOUF | ||
| 2Menoufia University Faculty Of ElectronicEngineering, Menouf Department Of Industrial Electronics And Control menoufiya, MENOUF | ||
| Abstract | ||
| this paper presents an optimum approach for medical wavelet based Principa1 Component Ana1ysis (PCA) to modify central fusion using different wavelet families and force optimization (MCFO) technique. The proposed MCFO optimized wavelet based fusion algorithm provides the optimum gain parameters values for fusion that achieves the highest image quality and best visualization. The modalities adopted are Magnetic Resonance imaging (MRI), Positron Emission Tomography (PET) as a type of Computed Tomography (CT) modalities. A comparative study is held between the proposed algorithms and the traditional (DWT) fusion rule then evaluated subjectively and objectively with different Evaluation metrics such as entropy, edge intensity, contrast, standard deviation, (PSNR), and average gradient have been adopted for performance evaluation of the proposed method. The obtained results confirm that the proposed method is superior in performance to the DWT and PCA methods individually. | ||
| Keywords | ||
| Modified central force optimization; Principa1 Component Ana1ysis, Discrete Wavelet Transform, average gradient | ||
| References | ||
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