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Enhanced Medical Image Fusion using Cross-Guided Filtering and Edge-Preserving Techniques for Improved Clinical Diagnosis

Srikanth M. V.*, Manaswitha T.**, Santhi Priya M.***, Kalyan Kumar A.****, Rushi Manikanta B.*****

*-***** Usha Rama College of Engineering and Technology, Telaprolu, Andhra Pradesh, India.

Periodicity:April - June'2025
DOI : https://doi.org/10.26634/jele.15.3.21732

Abstract

Medical image fusion utilizes diverse diagnostic information found between multiple medical images to produce one improved display for better clinical procedures and diagnostic accuracy. The research develops an effective framework for multimodal medical images fusion by utilizing Cross Bilateral Filtering (CBF) and Edge-Preserving Processing applied to CT, MRI, PET and SPECT data types. The proposed method adopts CBF to maintain edge integrity while it removes noise and reveals fine image details. An enhancement of significant image features occurs through edge-preserving processing by dividing low-pass content from residual elements. A gradient-based integration process combines processed images through a method that strengthens details found in places where gradient magnitudes reach higher levels. The assessments of consolidated images used Normalized Cross-Correlation (NCC) together with Mean Squared Error (MSE) and Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM), and Entropy as evaluation metrics. Experimental evaluations confirm the proposed technique successfully maintains diagnostic vital information while improving visual clarity, which indicates its reliability for medical practice.

Keywords

Image Fusion, Edge Preservation, Medical Imaging, Edge Preservation, Diagnosis Enhancement.

How to Cite this Article?

Srikanth, M. V., Manaswitha, T., Priya, M. S., Kumar, A. K., and Manikanta, B. R. (2025). Enhanced Medical Image Fusion using Cross-Guided Filtering and Edge-Preserving Techniques for Improved Clinical Diagnosis. i-manager’s Journal on Electronics Engineering, 15(3), 29-38. https://doi.org/10.26634/jele.15.3.21732

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Enhanced Medical Image Fusion using Cross-Guided Filtering and Edge-Preserving Techniques for Improved Clinical Diagnosis

Abstract

Keywords

How to Cite this Article?

References

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