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9783961002139: Biologically Inspired Hexagonal Deep Learning for Hexagonal Image Processing

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ISBN 10 : 3961002134 ISBN 13 : 9783961002139

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Langue: anglais
ISBN 10: 3961002134
ISBN 13: 9783961002139
Reliure: Copertina flessibile
Nombre de pages: 300
Coordonn�es du fabricant: non disponible
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Biologically Inspired Hexagonal Deep Learning for Hexagonal Image Processing

Tobias Schlosser

Edit� par Technische Universit�t Chemnitz

ISBN 10 : 3961002134 ISBN 13 : 9783961002139

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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -While current approaches to digital image processing in the context of deep learning are motivated by biological processes in the human brain, they are, however, also limited due to the current state of the art of input and output devices. To generate images from real-world scenes, the underlying lattice formats are predominantly based on rectangular or square structures. Yet, the human visual perception system suggests an alternative approach that manifests itself in the sensory cells of the human eye in the form of hexagonal arrangements.This contribution is therefore concerned with the design, implementation, and evaluation of hexagonal solutions in the form of hexagonal deep neural networks (H-DNN). The realized hexagonal functionality had to be built from the ground up as hexagonal counterparts to otherwise conventional square image processing systems, for which hexagonal equivalents for artificial neural network operations, layers, and models had to be implemented.To enable their evaluation, a set of different application areas within astronomical, medical, and industrial image processing are provided that allow an assessment of H-DNNs in terms of their general performance. The presented results demonstrate the possible benefits of H-DNNs for image processing systems. It is shown that H-DNNs can result in increased classification capabilities given different basic geometric shapes and contours, which in turn partially translate into their real-world applications. 272 pp. Englisch. N� de r�f. du vendeur 9783961002139

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Biologically Inspired Hexagonal Deep Learning for Hexagonal Image Processing : DE

Tobias Schlosser

Edit� par Technische Universit�t Chemnitz

ISBN 10 : 3961002134 ISBN 13 : 9783961002139

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - While current approaches to digital image processing in the context of deep learning are motivated by biological processes in the human brain, they are, however, also limited due to the current state of the art of input and output devices. To generate images from real-world scenes, the underlying lattice formats are predominantly based on rectangular or square structures. Yet, the human visual perception system suggests an alternative approach that manifests itself in the sensory cells of the human eye in the form of hexagonal arrangements.This contribution is therefore concerned with the design, implementation, and evaluation of hexagonal solutions in the form of hexagonal deep neural networks (H-DNN). The realized hexagonal functionality had to be built from the ground up as hexagonal counterparts to otherwise conventional square image processing systems, for which hexagonal equivalents for artificial neural network operations, layers, and models had to be implemented.To enable their evaluation, a set of different application areas within astronomical, medical, and industrial image processing are provided that allow an assessment of H-DNNs in terms of their general performance. The presented results demonstrate the possible benefits of H-DNNs for image processing systems. It is shown that H-DNNs can result in increased classification capabilities given different basic geometric shapes and contours, which in turn partially translate into their real-world applications. N� de r�f. du vendeur 9783961002139

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Biologically Inspired Hexagonal Deep Learning for Hexagonal Image Processing

Tobias Schlosser

Edit� par Universit�tsverlag Chemnitz, 2024

ISBN 10 : 3961002134 ISBN 13 : 9783961002139

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Vendeur : preigu, Osnabr�ck, Allemagne

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Taschenbuch. Etat : Neu. Biologically Inspired Hexagonal Deep Learning for Hexagonal Image Processing | Tobias Schlosser | Taschenbuch | Englisch | Universit�tsverlag Chemnitz | EAN 9783961002139 | Verantwortliche Person f�r die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabr�ck, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. N� de r�f. du vendeur 129323437

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