An Improved Algorithm for Medical Image Fusion Based on Pulse Coupled Neural Networks

Abstract:

Article Preview

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:

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:

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.