3- https://doi.org/10.1007/3-540-45493-4_46
Multi-valued and Universal Binary Neurons: New Applications in Intelligent Image Processing
- Jan 1, 2001
- Igor Aizenberg
Abstract
Multi-valued neurons (MVN) and universal binary neurons (UBN) are neural elements with complex-valued weights and high functionality. It is possible to implement the arbitrary mapping described by partially defined multiple-valued function on the single MVN and the arbitrary mapping described by Boolean function (which may not be threshold) on the single UBN. In this paper we consider some applications carried out using these wonderful features of MVN and UBN. Conception of cellular neural networks based on MVN and UBN becomes a base for nonlinear cellular neural filtering. Application of the corresponding filters for edge detection and solving of the super-resolution problem are considered in the paper.
- # Multi-valued Neurons
- # Universal Binary Neurons
- # Filters For Edge Detection
- # Intelligent Image Processing
- # Complex-valued Weights
- # Arbitrary Mapping
- # Neural Elements
- # Boolean Function
- # Filters For Detection
- # Conception Of Networks
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