Visual image processing by way of neural nets with nonlocal ties

Nicolai S. Belliustin; Alexander G. Khobotov

doi:10.1117/12.195619

7 December 1994 Visual image processing by way of neural nets with nonlocal ties

Nicolai S. Belliustin, Alexander G. Khobotov

Proceedings Volume 2430, Optical Memory & Neural Networks '94: Optical Neural Networks; (1994) https://doi.org/10.1117/12.195619
Event: Optical Memory and Neural Networks: International Conference, 1994, Moscow, Russian Federation

Abstract

This investigation is one of the preliminary steps to create an artificial system of visual image recognition and reconstruction implementing main principles of visual image processing in living biological systems. A previous study of neural net models with decreasing inner neurons' dynamics proved that net with lateral inhibition ties is able to convert image into compressed form and to pick out key elements of the picture. The present papers propose to use a reverse neural net with increasing inner neurons' dynamics with the same other parameters (the conjugate net) for image back reconstruction and image histograms' entropy measures as integral values for dynamic image processing monitoring and control.

Citation Download Citation

Nicolai S. Belliustin and Alexander G. Khobotov "Visual image processing by way of neural nets with nonlocal ties", Proc. SPIE 2430, Optical Memory & Neural Networks '94: Optical Neural Networks, (7 December 1994); https://doi.org/10.1117/12.195619

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