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Image Texture Analysis: Foundations, Models and Algorithms book cover by Chih-Cheng Hung, Enmin Song, Yihua Lan
Paperback

Image Texture Analysis: Foundations, Models and Algorithms

by Chih-Cheng Hung, Enmin Song and Yihua Lan

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Total $1,209.75

Paperback · 258 pages Springer International Publishing · 2020

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About the book

Image Texture Analysis

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.



Details

Publisher
Springer International Publishing
Authors
Chih-Cheng Hung, Enmin Song, Yihua Lan
Format
Paperback
Published
Oct 6, 2020
ISBN-13
9783030137755
Pages
258
Printing
Printed on demand
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