Gradient Compass-Based Adaptive Multimodal Medical Image Fusion

In medical imaging, the use of different imaging modalities has significantly enhanced diagnostic information available to physicians. Each type modality exhibits unique about subject being imaged. many cases, physicians are interested in multimodal same organ, which is complementary nature and its fusion often required. A lot methods proposed address image problem. However, main downside all such loss key features from input images fused image. Additionally, also introduce unwanted artifacts this work, we present a method for based on gradient compass spatial domain, can effectively fuse pair images. An edge detail extracted source eight directions, provides significant data construction an map With help constructed maps two detailed generated. The statistical properties used construct weight matrices, then perform adaptive pixel fusion. We benchmark our multiple Computed Tomography (CT) Magnetic Resonance Imaging (MRI) subject. performance algorithm outperformed existing by transferring only related