Synopsis
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 NetworksConvolutional Neural Networks and Texture Classification
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
