Method for training of a parallel-hierarchical network based on population coding for processing of extended laser path images

Leonid I. Timchenko; Yuri F. Kutaev; Volodymyr P. Kozhemyako; Andriy A. Yarovyy; Alexander A. Gertsiy; Anatoliy T. Terenchuk; Nafez Ode Shweiki

doi:10.1117/12.453865

21 November 2002 Method for training of a parallel-hierarchical network, based on population coding for processing of extended laser path images

Leonid I. Timchenko, Yuri F. Kutaev, Volodymyr P. Kozhemyako, Andriy A. Yarovyy, Alexander A. Gertsiy, Anatoliy T. Terenchuk, Nafez Ode Shweiki

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Proceedings Volume 4790, Applications of Digital Image Processing XXV; (2002) https://doi.org/10.1117/12.453865
Event: International Symposium on Optical Science and Technology, 2002, Seattle, WA, United States

Abstract

Authors have worked out a nonstationary signal analysis method on an example of research laser lines. This method disclosed relationship between signal approximation coefficients and geometry signal characterizations (for instance, energy center, moment of inertia). An example, which is demonstrating an application of this method for exact coordinate determination problem in laser line at displacement compensation in laser imaging are present.

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Leonid I. Timchenko, Yuri F. Kutaev, Volodymyr P. Kozhemyako, Andriy A. Yarovyy, Alexander A. Gertsiy, Anatoliy T. Terenchuk, and Nafez Ode Shweiki "Method for training of a parallel-hierarchical network, based on population coding for processing of extended laser path images", Proc. SPIE 4790, Applications of Digital Image Processing XXV, (21 November 2002); https://doi.org/10.1117/12.453865

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