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Synopsis
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.
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Advanced Image Processing Techniques
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Our Knowledge Publishing Apr 2024, 2024
ISBN 10 : 6207409027
ISBN 13 : 9786207409020
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 52 pp. Englisch. N° de réf. du vendeur 9786207409020
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Advanced Image Processing Techniques
Edité par
Our Knowledge Publishing Apr 2024, 2024
ISBN 10 : 6207409027
ISBN 13 : 9786207409020
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch. N° de réf. du vendeur 9786207409020
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Advanced Image Processing Techniques : Geometric Methods for Texture Analysis
Edité par
Our Knowledge Publishing, 2024
ISBN 10 : 6207409027
ISBN 13 : 9786207409020
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. 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. N° de réf. du vendeur 9786207409020
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Advanced Image Processing Techniques | Geometric Methods for Texture Analysis
Edité par
Our Knowledge Publishing, 2024
ISBN 10 : 6207409027
ISBN 13 : 9786207409020
Neuf
Taschenbuch
Vendeur : preigu, Osnabrück, Allemagne
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Taschenbuch. Etat : Neu. Advanced Image Processing Techniques | Geometric Methods for Texture Analysis | Flávia Gonçalves Fernandes (u. a.) | Taschenbuch | Englisch | 2024 | Our Knowledge Publishing | EAN 9786207409020 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. N° de réf. du vendeur 128971828
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