Description
Springer Image Texture Analysis Foundations Models And Algorithms 2019 Edition by Hung C.C.
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._x000D__x000D_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._x000D__x000D__x000D__x000D__x000D__x000D_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._x000D_ Table of contents :- Part I: Existing Models and Algorithms for Image TextureImage Texture, Texture Features, and Image Texture Classification and SegmentationTexture Features and Image Texture ModelsAlgorithms for Image Texture ClassificationDimensionality Reduction and Sparse RepresentationPart II: The K-Views Models and AlgorithmsBasic Concept and Models of the K-ViewsUsing Datagram in the K-Views ModelFeatures-Based K-Views ModelAdvanced K-Views AlgorithmsPart III: Deep Machine Learning Models for Image Texture Analysis Foundations of Deep Machine Learning in Neural NetworksConvolutional Neural Networks and Texture Classification