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Special Issue Article Open Access
Image Fusion is a process of combining images from different sensors in order to get a single image having relevant information from all the sensors. Fuzzy logic based image fusion is introduced in order to incorporate uncertainty to the fusion logic since pixel calculation of the input image is not that certain and crisp. Recently studies are going on in Type-2 Fuzzy sets which can handle higher levels of uncertainties. Image Fusion algorithms using different types of Type-2 FLS s are developed and tested. It was observed that type-2 FLSs gives better values of Fusion quality performance metrics than Type-1 FLS. Among Type-2 FLSs, Type-2 Sugeno outperformed Mamdani. In Type-2 Mamdani FLSs, Type-2 Non-singleton type-2 Mamdani FLS was showing good results than the other two.