ABSTRACT
Fusion of image is a new discipline that involves the fusing of pictures collected by multiple sensors to generate an informative image which helps in medical diagnosis for making appropriate decisions. Image fusion is becoming increasingly important in computer vision activities because of the larger number of capture methods. The integration of different views like multi view, multi temporal view and information which is larger together termed as image fusion. In image fusion the information of multiple-sensors are converted into a unified image while maintaining the fidelity of critical characteristics. Healthcare image fusion procedures are used to improve picture quality by achieving the conspicuous characteristics in the fusion findings. As a result, they increase the practical usefulness of medical pictures for issue assessment and identification. Fusion of medical images are generally evaluated using the modalities like MRI-Magnetic Resonance Imaging and CT-Computed Tomography. Fusion of images is a compelling method for breaking down and utilizes enormous volumes of pictures near source in light of the fact that the fused picture incorporates different data information that can't be acquired from a solitary source picture. Accordingly, picture combination is utilized in a wider scope of utilization and some of them are clinical treatment, photography, remote detecting, military, security, and observation. This project is developed in matlab.
PROJECT OUTPUT
PROJECT DEMO VIDEO
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