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1 April 1998 Image processing algorithms based on neural network technology
Igor N. Aizenberg
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Proceedings Volume 3402, Optical Information Science and Technology (OIST97): Optical Memory and Neural Networks; (1998) https://doi.org/10.1117/12.304971
Event: Optical Information Science and Technology, 1997, Moscow, Russian Federation
Abstract
This paper is devoted to implementation of the some original image processing algorithms using cellular neural networks on multi-valued and universal binary neurons. High-effective multi-valued filters, their implementation and application to the noise removing and frequencies correction are considered. Algorithms of the edge detection and impulse noise filtering, and their implementation are also considered. Application of the networks from multi-valued neurons to image recognition and to extrapolation of the image orthogonal spectrum to the highest frequencies domain is also presented.
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Igor N. Aizenberg "Image processing algorithms based on neural network technology", Proc. SPIE 3402, Optical Information Science and Technology (OIST97): Optical Memory and Neural Networks, (1 April 1998); https://doi.org/10.1117/12.304971
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KEYWORDS
Neurons
Image filtering
Neural networks
Image processing
Binary data
Detection and tracking algorithms
Digital filtering
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