Abstract

In the process of image filtering, it is a difficult problem to get rid of the distorted points and to keep the detail of the image at same time. So we use the fuzzy neuron network (FNN) to fuse the result of filter of the multilevel FIR-median hybrid (MFMHF) and the result of the median filter with a 5*5 window. It is not easy to set the appropriate parameters for the FNN. Thus, an improved FNN based on genetic algorithm (GA) is introduced to solve the problems of setting parameters of the FNN. Simulation results indicate that after the parameters of the FNN being optimized with GA, the performance of the FNN on image fusion is better than the performance of the common FNN

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.