ABSTRACT
Image Fusion is concerned with combining features from multiple input images into a single image. The produced single image is more informative and accurate than any single source image since it contains all the necessary information. The purpose of image fusion is not only to decrease the quantity of data but also to construct images that are more appropriate and more clear for human and machine perception Recently, image fusion has become one of the most promising fields in image processing since it plays an essential role in different applications, such as medical diagnosis and clarification of medical images. Multimodal Medical Image Fusion (MMIF) enhances the quality of medical images by combining two or more medical images from different modalities to obtain an improved fused image that is clearer than the original ones. Choosing the best MMIF technique which produces the best quality is one of the important problems in the assessment of image fusion techniques. In this project, a MMIF technique is presented, along with medical imaging modalities, medical image fusion steps and levels, and the assessment methodology of MMIF. This project is developed in matlab.
PROJECT OUTPUT
PROJECT DEMO VIDEO
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