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
About the Author: 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.
