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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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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creator Harrer, H.
Venetianer, P.L.
Nossek, J.A.
Roska, T.
Chua, L.O.
description 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_str_mv 10.1109/CNNA.1994.381679
format conference_proceeding
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Analog computers
Cellular neural networks
Computer networks
Data mining
Data preprocessing
Fasteners
Logic
Robotic assembly
Signal processing algorithms
Turing machines
title Some examples of preprocessing analog images with discrete-time cellular neural networks
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