Texture Feature Extraction Techniques for Image Recognition

Detalles Bibliográficos
Autores principales: Chaki, Jyotismita (Autor), Dey, Nilanjan (Autor)
Autor Corporativo: SpringerLink (Online service)
Sumario:XIV, 100 p. 75 illus., 12 illus. in color.
text
Lenguaje:inglés
Publicado: Singapore : Springer Nature Singapore : Imprint: Springer, 2020.
Edición:1st ed. 2020.
Colección:SpringerBriefs in Computational Intelligence,
Materias:
Acceso en línea:https://doi.org/10.1007/978-981-15-0853-0
Formato: Electrónico Libro

MARC

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505 0 |a Introduction -- Statistical Texture Features -- Structural Texture Features -- Signal Processed Texture Features -- Model Based Texture Features -- Applications of Texture Features. 
520 |a The book describes various texture feature extraction approaches and texture analysis applications. It introduces and discusses the importance of texture features, and describes various types of texture features like statistical, structural, signal-processed and model-based. It also covers applications related to texture features, such as facial imaging. It is a valuable resource for machine vision researchers and practitioners in different application areas. 
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