Multimodal Sensor Medical Image Fusion Based on Type-2 Fuzzy Logic in NSCT Domain

 Multimodal Sensor Medical Image Fusion Based on Type-2 Fuzzy Logic in NSCT Domain

 Multimodal medical image fusion plays a vital role in different clinical imaging sensor applications. This paper presents a novel multimodal medical image fusion method that adopts a multiscale geometric analysis of the nonsubsampled contourlet transform (NSCT) with type-2 fuzzy logic techniques. First, the NSCT was performed on preregistered source images to obtain their high- and low-frequency subbands. Next, an effective type-2 fuzzy logic-based fused rule is proposed for fusion of the high-frequency subbands.