Image Texture Analysis Foundations, Models and Algorithms /
This useful textbook/reference presents an accessible primer on the fundamentals of image texture analysis, as well as an introduction to the K-views model for extracting and classifying image textures. Divided into three parts, the book opens with a review of existing models and algorithms for imag...
Κύριοι συγγραφείς: | , , |
---|---|
Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2019.
|
Έκδοση: | 1st ed. 2019. |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.