In the field of physics and engineering, the "Zia" name is frequently associated with (Brown University).
: Her personal and professional interests include health and wellness, education, and policy and advocacy. [1] june liu zia work
Multi-modal medical image fusion plays a critical role in clinical diagnosis by combining complementary information from different imaging modalities, such as Computed Tomography (CT) and Magnetic Resonance Imaging (MRI). This paper proposes an efficient image fusion method based on Principal Component Analysis (PCA) and Adaptive Histogram Equalization (AHE). Unlike traditional wavelet-based methods that suffer from spatial discontinuities, the proposed approach utilizes PCA to determine the optimal weighting coefficients for pixel intensity integration, preserving the spectral integrity of the source images. Subsequently, AHE is applied to enhance the contrast of the fused output. Experimental results demonstrate that the proposed method outperforms existing fusion algorithms in terms of entropy, peak signal-to-noise ratio (PSNR), and structural similarity index (SSIM), providing radiologists with high-quality diagnostic imagery. In the field of physics and engineering, the
This philosophy manifests in her consistent use of natural elements, which are just as important as the human subject in her compositions. This paper proposes an efficient image fusion method