Abstract
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.
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Salakhutdinov, V.K., Smetanin, Y.G., Murashov, D.M., Gandurin, V.A. (2004). Image Registration Neural System for the Analysis of Fundus Topology. In: Sonka, M., Kakadiaris, I.A., Kybic, J. (eds) Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis. MMBIA CVAMIA 2004 2004. Lecture Notes in Computer Science, vol 3117. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27816-0_36
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DOI: https://doi.org/10.1007/978-3-540-27816-0_36
Publisher Name: Springer, Berlin, Heidelberg
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