Edité par Our Knowledge Publishing Apr 2024, 2024
ISBN 10 : 6207409027 ISBN 13 : 9786207409020
Langue: anglais
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware -Texture is one of the most important features for classifying and recognizing objects and scenes, and can be characterized by local variations in pixel values that are repeated regularly or randomly throughout the object or image. Several methods for classifying images using texture features have been proposed in the literature. However, there is no generic method or formal approach that is useful for a wide variety of images. Texture refers to a visual pattern that has some homogeneous properties that are not simply the result of color or intensity. Unlike other characteristics (brightness, color), texture cannot be defined on a single pixel, but rather across a region or set of pixels. The three main approaches used in image classification to describe textures are statistical, structural and spectral, which are presented in this paper.Books on Demand GmbH, Überseering 33, 22297 Hamburg 52 pp. Englisch.
Edité par Our Knowledge Publishing Apr 2024, 2024
ISBN 10 : 6207409027 ISBN 13 : 9786207409020
Langue: anglais
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 52 pp. Englisch.
Edité par Our Knowledge Publishing, 2024
ISBN 10 : 6207409027 ISBN 13 : 9786207409020
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 37,20
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Texture is one of the most important features for classifying and recognizing objects and scenes, and can be characterized by local variations in pixel values that are repeated regularly or randomly throughout the object or image. Several methods for classifying images using texture features have been proposed in the literature. However, there is no generic method or formal approach that is useful for a wide variety of images. Texture refers to a visual pattern that has some homogeneous properties that are not simply the result of color or intensity. Unlike other characteristics (brightness, color), texture cannot be defined on a single pixel, but rather across a region or set of pixels. The three main approaches used in image classification to describe textures are statistical, structural and spectral, which are presented in this paper.