Some examples of preprocessing analog images with discrete-time cellular neural networks

The paper gives two examples, where an analog input image is preprocessed by a sequence of templates, i.e. by analogic CNN algorithms running on the CNN Universal Machine. The examples are: the extraction of horizontal screws with arbitrary length and the classification of screws according to their...

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Bibliographic Details
Main Authors: Harrer, H., Venetianer, P.L., Nossek, J.A., Roska, T., Chua, L.O.
Format: Conference Proceeding
Language:English
Subjects:
Analog computers
Cellular neural networks
Computer networks
Data mining
Data preprocessing
Fasteners
Logic
Robotic assembly
Signal processing algorithms
Turing machines
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Summary:The paper gives two examples, where an analog input image is preprocessed by a sequence of templates, i.e. by analogic CNN algorithms running on the CNN Universal Machine. The examples are: the extraction of horizontal screws with arbitrary length and the classification of screws according to their size.< >
DOI:10.1109/CNNA.1994.381679