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Handbook Texture Analysis Generalized (19 results)
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Condition: As New. Unread book in perfect condition.
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Handbook of Texture Analysis : Generalized Texture for Ai-based Industrial Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Handbook of Texture Analysis : Generalized Texture for Ai-based Industrial Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Handbook of Texture Analysis: Generalized Texture for AI-Based Industrial Applications
Language: English
Published by Taylor & Francis Ltd, 2025
ISBN 10: 103272742X ISBN 13: 9781032727424
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
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Handbook Of Texture Analysis: Generalized Texture For Ai-Based Industrial Applications
Language: English
Published by Taylor & Francis Ltd, 2025
ISBN 10: 103272742X ISBN 13: 9781032727424
Paperback. Condition: Brand New. 226 pages. 9.18x6.12x9.21 inches. In Stock.
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Condition: As New. Unread book in perfect condition.
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Handbook of Texture Analysis : Generalized Texture for Ai-based Industrial Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 170.75
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Handbook of Texture Analysis : Generalized Texture for Ai-based Industrial Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 175.93
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book examines four major application domains related to texture analysis and their relationship to AI-based industrial applications: texture classification, texture segmentation, shape from texture, and texture synthesis.
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Taschenbuch. Condition: Neu. Handbook of Texture Analysis | Generalized Texture for AI-Based Industrial Applications | Ayman El-Baz (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2025 | CRC Press | EAN 9781032727424 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The major goals of texture research in computer vision are to understand, model, and process texture, and ultimately, to simulate the human visual learning process using computer technologies. In the last decade, artificial intelligence has been revolutionized by machine learning and big data approaches, outperforming human prediction on a wide range of problems. In particular, deep learning convolutional neural networks (CNNs) are particularly well suited to texture analysis. This book examines four major application domains related to texture analysis and their relationship to AI-based industrial applications: texture classification, texture segmentation, shape from texture, and texture synthesis. This volume:Discusses texture-based segmentation for extracting image shape features, modeling and segmentation of noisy and textured images, spatially constrained color-texture model for image segmentation, and texture segmentation using Gabor filtersExamines textural features for image classification, a statistical approach for classification, texture classification from random features, and applications of texture classificationsDescribes shape from texture, including general principles, 3D shapes, and equations for recovering shape from textureSurveys texture modeling, including extraction based on Hough transformation and cycle detection, image quilting, gray level run lengths, and use of Markov random fieldsAimed at researchers, academics, and advanced students in biomedical engineering, image analysis, cognitive science, and computer science and engineering, this is an essential reference for those looking to advance their understanding in this applied and emergent field.
