alexa Image Fusion Using Type-2 Fuzzy Systems
ISSN ONLINE(2278-8875) PRINT (2320-3765)

International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering
Open Access

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Special Issue Article

Image Fusion Using Type-2 Fuzzy Systems

Swathy Nair1, Bindu Elias1, VPS Naidu2
  1. Department of Electrical and Electronics, Mar Athanasius College of Engineering, Kothamangalam, Kerala, India
  2. Multi Sensor Data Fusion Lab, CSIR- National Aerospace Laboratories, Bangalore, Karnataka, India
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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.


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