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This introductory text on image texture analysis is ideally suitable for senior undergraduate and first-year graduate students of computer science, who will benefit from the numerous clarifying examples provided throughout the work.
This introductory text on image texture analysis is ideally suitable for senior undergraduate and first-year graduate students of computer science, who will benefit from the numerous clarifying examples provided throughout the work.
Dr. Chih-Cheng Hung is a Tenured Professor of Computer Science in the College of Computing and Software Engineering at Kennesaw State University, where he serves as the Director of the Center for Machine Vision and Security Research. He also holds the position of YinDu Scholar at Anyang Normal University, China.
Dr. Enmin Song is a Professor and Director of the Department of Computer Science and Application at Huazhong University of Science and Technology, Wuhan, China.
Dr. Yihua Lan is an Associate Professor of Computer Science in the School of Computer and Information Technology at Nanyang Normal University, China.
Reviews the state of the art in models and algorithms for texture analysis, including deep learning and image texture analysis
Introduces the K-View model and its advanced models, highlighting the benefits offered by these models
Discusses the theory, explains the necessary mathematics, and describes the implementation of the algorithms
Part I: Existing Models and Algorithms for Image Texture.- Image Texture, Texture Features, and Image Texture Classification and Segmentation.- Texture Features and Image Texture Models.- Algorithms for Image Texture Classification.- Dimensionality Reduction and Sparse Representation.- Part II: The K-Views Models and Algorithms.- Basic Concept and Models of the K-Views.- Using Datagram in the K-Views Model.- Features-Based K-Views Model.- Advanced K-Views Algorithms.- Part III: Deep Machine Learning Models for Image Texture Analysis.- Foundations of Deep Machine Learning in Neural Networks.- Convolutional Neural Networks and Texture Classification.
| Erscheinungsjahr: | 2019 |
|---|---|
| Fachbereich: | Anwendungs-Software |
| Genre: | Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Buch |
| Inhalt: |
xii
258 S. 69 s/w Illustr. 73 farbige Illustr. 258 p. 142 illus. 73 illus. in color. |
| ISBN-13: | 9783030137724 |
| ISBN-10: | 3030137724 |
| Sprache: | Englisch |
| Herstellernummer: | 978-3-030-13772-4 |
| Ausstattung / Beilage: | HC runder Rücken kaschiert |
| Einband: | Gebunden |
| Autor: |
Hung, Chih-Cheng
Lan, Yihua Song, Enmin |
| Auflage: | 1st ed. 2019 |
| Hersteller: |
Springer International Publishing
Springer International Publishing AG |
| Maße: | 241 x 160 x 21 mm |
| Von/Mit: | Chih-Cheng Hung (u. a.) |
| Erscheinungsdatum: | 17.06.2019 |
| Gewicht: | 0,576 kg |
Dr. Chih-Cheng Hung is a Tenured Professor of Computer Science in the College of Computing and Software Engineering at Kennesaw State University, where he serves as the Director of the Center for Machine Vision and Security Research. He also holds the position of YinDu Scholar at Anyang Normal University, China.
Dr. Enmin Song is a Professor and Director of the Department of Computer Science and Application at Huazhong University of Science and Technology, Wuhan, China.
Dr. Yihua Lan is an Associate Professor of Computer Science in the School of Computer and Information Technology at Nanyang Normal University, China.
Reviews the state of the art in models and algorithms for texture analysis, including deep learning and image texture analysis
Introduces the K-View model and its advanced models, highlighting the benefits offered by these models
Discusses the theory, explains the necessary mathematics, and describes the implementation of the algorithms
Part I: Existing Models and Algorithms for Image Texture.- Image Texture, Texture Features, and Image Texture Classification and Segmentation.- Texture Features and Image Texture Models.- Algorithms for Image Texture Classification.- Dimensionality Reduction and Sparse Representation.- Part II: The K-Views Models and Algorithms.- Basic Concept and Models of the K-Views.- Using Datagram in the K-Views Model.- Features-Based K-Views Model.- Advanced K-Views Algorithms.- Part III: Deep Machine Learning Models for Image Texture Analysis.- Foundations of Deep Machine Learning in Neural Networks.- Convolutional Neural Networks and Texture Classification.
| Erscheinungsjahr: | 2019 |
|---|---|
| Fachbereich: | Anwendungs-Software |
| Genre: | Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Buch |
| Inhalt: |
xii
258 S. 69 s/w Illustr. 73 farbige Illustr. 258 p. 142 illus. 73 illus. in color. |
| ISBN-13: | 9783030137724 |
| ISBN-10: | 3030137724 |
| Sprache: | Englisch |
| Herstellernummer: | 978-3-030-13772-4 |
| Ausstattung / Beilage: | HC runder Rücken kaschiert |
| Einband: | Gebunden |
| Autor: |
Hung, Chih-Cheng
Lan, Yihua Song, Enmin |
| Auflage: | 1st ed. 2019 |
| Hersteller: |
Springer International Publishing
Springer International Publishing AG |
| Maße: | 241 x 160 x 21 mm |
| Von/Mit: | Chih-Cheng Hung (u. a.) |
| Erscheinungsdatum: | 17.06.2019 |
| Gewicht: | 0,576 kg |
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