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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Published inProceedings of the Third IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94) pp. 201 - 206
Main Authors Harrer, H., Venetianer, P.L., Nossek, J.A., Roska, T., Chua, L.O.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1994
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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Abstract 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.< >
AbstractList 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.< >
Author Chua, L.O.
Harrer, H.
Roska, T.
Venetianer, P.L.
Nossek, J.A.
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Snippet 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...
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StartPage 201
SubjectTerms 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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