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Advanced Image Processing Techniques: Geometric Methods for Texture Analysis - Softcover

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

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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  • PublisherOur Knowledge Publishing
  • Publication date2024
  • ISBN 10 6207409027
  • ISBN 13 9786207409020
  • BindingPaperback
  • LanguageEnglish
  • Number of pages52

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ISBN 10: 6207409027 ISBN 13: 9786207409020
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Published by Our Knowledge Publishing, 2024
ISBN 10: 6207409027 ISBN 13: 9786207409020
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Taschenbuch. Condition: 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. Seller Inventory # 9786207409020

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Flávia Gonçalves Fernandes
ISBN 10: 6207409027 ISBN 13: 9786207409020
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Taschenbuch. Condition: 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. Seller Inventory # 9786207409020

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