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Image texture analysis : foundations, models and algorithms / Chih-Cheng Hung, Enmin Song, Yihua Lan.

Hung, Chih-Cheng, author.; Song, Enmin, author.; Lan, Yihua, author.
2019
Q327 .H86 2019
Available Online
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Title
Image texture analysis : foundations, models and algorithms / Chih-Cheng Hung, Enmin Song, Yihua Lan.
Author
Hung, Chih-Cheng, author.
ISBN
9783030137731 (electronic book)
9783030137724
3030137732 (electronic book)
Published
Cham, Switzerland : Springer, [2019]
Copyright
©2019
Language
English
Description
1 online resource (xii, 258 pages) : illustrations
Item Number
10.1007/978-3-030-13
Call Number
Q327 .H86 2019
Dewey Decimal Classification
006.3/7
Summary
"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."--Publisher's website.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Description based on online resource; title from digital title page (viewed on July 19, 2019).
Added Author
Song, Enmin, author.
Lan, Yihua, author.
Available in Other Form
Print version: 9783030137724
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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 :
Foundation of Deep Machine Learning in Neural Networks
Convolutional Neural Networks and Texture Classification.

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