Image Registration and Fusion using Moving Frame based Decomposition Framework Algorithm
Pooja Aspalli1, Pattan Prakash2
1Pooja Aspalli, Department of Computer Science and Engineering, PDA College of Vishveraya Technological University Kalaburagi.
2Dr. Prakash Pattan, Department of Computer Science and Engineering, P.D.A. College of Engineering, Gulbarga, Karnataka, India.
Manuscript received on December 25, 2021. | Revised Manuscript received on January 08, 2021. | Manuscript published on March 30, 2021. | PP: 57-63 | Volume-10 Issue-5, March 2021 | Retrieval Number: 100.1/ijitee.E86690310521| DOI: 10.35940/ijitee.E8669.0310521
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Abstract: Image fusion is an important process in the medical image diagnostics methods. Fusing images by obtaining information from different source and different types of images(modals) called multi-modal image fusion. This paper implements an effective and fast spatial domain based multi-modal image fusion using moving frame based decomposition (MFDF)method. Images from two different modalities are taken and decomposed to texture and approximation components. Weight mapping strategy is applied along with the guide filtering to fuse the approximation components using the final map. Weight mapping using the guide filtering is used for the fusing the images from different modalities. MATLAB is used for algorithm implementation. The results obtained are comparatively competitive with the recent publication. Multi modal image fusion thus implemented gives promising results, when compared to moving frame decomposition framework method. The size and the blurring variable of the guiding filter is optimized to obtain a better Structural Similarity Index Measurement (SSIM).
Keywords: Multimodal Image Fusion, Computer Tomography, Guide Filtering, Magnetic Resonance Imaging, Spatial domain image fusion.