Image Registration Neural System for the Analysis of Fundus Topology

Author:

V.K. Salakhutdinov, Y.G. Smetanin, D.M. Murashov  V.A. Gandurin  

Journal:

Lecture Notes in Computer Science

Issue Date:

2004

Abstract(summary):

The developed system is a tool for high aperture imaging of the fundus. The obtained high resolution images preserve the topology of the blood vessels. The system is based on mosaicking a series of distinct low aperture fragments in order to obtain a high aperture image. Mosaicking is implemented by a neural network with stubborn learning taking into account the importance of the information of particular features. In mosaicking, the aberrations of the third order are partly compensated.

Page:

417-422