Iterative image fusion technique using fuzzy and neuro fuzzy logic and applications

Image fusion has attracted a widespread attention owing to applications in medical imaging, automotive and remote sensing. Image fusion deals with integrating data obtained from different sources of information for intelligent systems. Image fusion provides output as a single image from a set of input images obtained from different sources or techniques. Different approaches in image fusion provide different type of results for different applications. Fuzzy and neuro-fuzzy algorithms have already been proposed for image fusion process. The work here further explores the image fusion technique in iterative fashion using fuzzy and neuro fuzzy approach. We found this technique very useful in medical imaging and other areas, where quality of image is more important than the real time application. The work is supplemented by algorithms, its simulation and qualitative analysis using entropy.