Hybrid pixel based method for multimodal image fusion based on Integration of Pulse Coupled Neural Network (PCNN) and Genetic Algorithm (GA) using Empirical Mode Decomposition (EMD)

This publication has 22 references indexed in Scilit:

• A Phase Congruency and Local Laplacian Energy Based Multi-Modality Medical Image Fusion Method in NSCT Domain
  IEEE Access, 2019
• Medical Image Fusion With Parameter-Adaptive Pulse Coupled Neural Network in Nonsubsampled Shearlet Transform Domain
  IEEE Transactions on Instrumentation and Measurement, 2018
• Computational Mechanisms of Pulse-Coupled Neural Networks: A Comprehensive Review
  Archives of Computational Methods in Engineering, 2016
• A Neuro-Fuzzy Approach for Medical Image Fusion
  IEEE Transactions on Biomedical Engineering, 2013
• Multiscale Image Fusion Using the Undecimated Wavelet Transform With Spectral Factorization and Nonorthogonal Filter Banks
  IEEE Transactions on Image Processing, 2012
• Multi-focus image fusion for visual sensor networks in DCT domain
  Computers and Electrical Engineering, 2011
• On the Shiftability of Dual-Tree Complex Wavelet Transforms
  IEEE Transactions on Signal Processing, 2009
• The Nonsubsampled Contourlet Transform: Theory, Design, and Applications
  IEEE Transactions on Image Processing, 2006
• Observation of periodic waves in a pulse-coupled neural network
  Optics Letters, 1993
• Feature Linking via Synchronization among Distributed Assemblies: Simulations of Results from Cat Visual Cortex
  Neural Computation, 1990