Paper Title:
An Improved Algorithm for Medical Image Fusion Based on Pulse Coupled Neural Networks
  Abstract

For the sake of overcoming the shortage of transitional region and marginal area information loss, especially lost texture information resulting from pixel-based pulse coupled neural network (PCNN) method, a region-based algorithm, which combined redundancy, shift-invariance of stationary wavelet transform (SWT) and regional firing intensity of PCNN, was present. This would provide more and exact information for clinical diagnosis, determination of Lesion distribution, Open-MRI-Guided surgery and so on by more effectively information drawn from sub-images. Finally, experimental results, that shown the proposed algorithm outperform other methods according to objective evaluation criteria, were given.

  Info
Periodical
Chapter
Session 2: Biomaterial Science
Edited by
Honghua Tan
Pages
492-497
DOI
10.4028/www.scientific.net/AMR.340.492
Citation
M. H. Wang, "An Improved Algorithm for Medical Image Fusion Based on Pulse Coupled Neural Networks", Advanced Materials Research, Vol. 340, pp. 492-497, 2012
Online since
September 2011
Authors
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