Neural-like model of artificial vision for pattern analysis

Alexander V. Pavlov

doi:10.1117/12.304954

1 April 1998 Neural-like model of artificial vision for pattern analysis

Alexander V. Pavlov

Proceedings Volume 3402, Optical Information Science and Technology (OIST97): Optical Memory and Neural Networks; (1998) https://doi.org/10.1117/12.304954
Event: Optical Information Science and Technology, 1997, Moscow, Russian Federation

Abstract

Model of Artificial Vision is discussed. The task is to find the part of reference pattern that presents in the object image. Condition is the task has to be solved in the framework of the Classifical Approach to the image understanding, i.e. without formal description of patterns. In two-layered bidirectional optical neural network image layer as a comparison layer is realized. Function of selective attention as filtering function in the correlation layer is involved. Energy function for the NN is defined as scalar product of object image and formed by NN expectation.

Citation Download Citation

Alexander V. Pavlov "Neural-like model of artificial vision for pattern analysis", Proc. SPIE 3402, Optical Information Science and Technology (OIST97): Optical Memory and Neural Networks, (1 April 1998); https://doi.org/10.1117/12.304954

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