DocumentCode
2987570
Title
The Hopfield neural network model for solving affine transformation parameters in the correlation method
Author
Riyamongkol, Panomkhawn ; Zhao, Weizhao
Author_Institution
Department of Electrical and Computer Engineering, Naresuan University, Thailand
fYear
2006
fDate
7-9 April 2006
Firstpage
249
Lastpage
253
Abstract
In this paper, we present the Hopfield neural network model to provide solution for affine transformation parameters in the correlation method. Affine transformation equation is derived to get the mean-square error. The model maps the mean-square error equation with the energy function. When the energy function reaches local minima, the mean-square error is minimized. Outputs of the model will be affine transformation parameters. These parameters are applied in the affine transformation equation to register the corresponding two images.
Keywords
Application software; Artificial neural networks; Correlation; Equations; Hopfield neural networks; Image registration; Medical diagnosis; Nervous system; Pixel; Predictive models;
fLanguage
English
Publisher
ieee
Conference_Titel
Region 5 Conference, 2006 IEEE
Conference_Location
San Antonio, TX, USA
Print_ISBN
978-1-4244-0358-5
Electronic_ISBN
978-1-4244-0359-2
Type
conf
DOI
10.1109/TPSD.2006.5507421
Filename
5507421
Link To Document