Image Texture Analysis: Foundations, Models and Algorithms

Description

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 image texture analysis, before delving into the details of the K-views model. The work then concludes with a discussion of popular deep learning methods for image texture analysis. Topics and features: provides self-test exercises in every chapter; describes the basics of image texture, texture features, and image texture classification and segmentation; examines a selection of widely-used methods for measuring and extracting texture features, and various algorithms for texture classification; explains the concepts of dimensionality reduction and sparse representation; discusses view-based approaches to classifying images; introduces the template for the K-views algorithm, as well as a range of variants of this algorithm; reviews several neural network models for deep machine learning, and presents a specific focus on convolutional neural networks. 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. Front Matter ....Pages i-xii Front Matter ....Pages 1-1 Image Texture, Texture Features, and Image Texture Classification and Segmentation (Chih-Cheng Hung, Enmin Song, Yihua Lan)....Pages 3-14 Texture Features and Image Texture Models (Chih-Cheng Hung, Enmin Song, Yihua Lan)....Pages 15-50 Algorithms for Image Texture Classification (Chih-Cheng Hung, Enmin Song, Yihua Lan)....Pages 51-102 Dimensionality Reduction and Sparse Representation (Chih-Cheng Hung, Enmin Song, Yihua Lan)....Pages 103-127 Front Matter ....Pages 129-129 Basic Concept and Models of the K-views (Chih-Cheng Hung, Enmin Song, Yihua Lan)....Pages 131-148 Using Datagram in the K-views Model (Chih-Cheng Hung, Enmin Song, Yihua Lan)....Pages 149-161 Features-Based K-views Model (Chih-Cheng Hung, Enmin Song, Yihua Lan)....Pages 163-182 Advanced K-views Algorithms (Chih-Cheng Hung, Enmin Song, Yihua Lan)....Pages 183-198 Front Matter ....Pages 199-199 Foundation of Deep Machine Learning in Neural Networks (Chih-Cheng Hung, Enmin Song, Yihua Lan)....Pages 201-232 Convolutional Neural Networks and Texture Classification (Chih-Cheng Hung, Enmin Song, Yihua Lan)....Pages 233-251 Back Matter ....Pages 253-258