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9786207409020: Advanced Image Processing Techniques: Geometric Methods for Texture Analysis

Sinopsis

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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  • EditorialOur Knowledge Publishing
  • Año de publicación2024
  • ISBN 10 6207409027
  • ISBN 13 9786207409020
  • EncuadernaciónTapa blanda
  • IdiomaInglés
  • Número de páginas52
  • Contacto del fabricanteno disponible

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Flávia Gonçalves Fernandes
Publicado por Our Knowledge Publishing Apr 2024, 2024
ISBN 10: 6207409027 ISBN 13: 9786207409020
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 52 pp. Englisch. Nº de ref. del artículo: 9786207409020

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Flávia Gonçalves Fernandes
Publicado por Our Knowledge Publishing, 2024
ISBN 10: 6207409027 ISBN 13: 9786207409020
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Taschenbuch. Condición: 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. Nº de ref. del artículo: 9786207409020

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Flávia Gonçalves Fernandes
Publicado por Our Knowledge Publishing Apr 2024, 2024
ISBN 10: 6207409027 ISBN 13: 9786207409020
Nuevo Taschenbuch

Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Taschenbuch. Condición: 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. Nº de ref. del artículo: 9786207409020

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