 Further Details
Title: Image Texture Analysis
Condition: New
Subtitle: Foundations, Models and Algorithms
Author: Yihua Lan, Chih-Cheng Hung, Enmin Song
Format: Hardback
EAN: 9783030137724
ISBN: 9783030137724
Edition: 1st ed. 2019
Publisher: Springer Nature Switzerland AG
Genre: Computing & Internet
Release Date: 17/06/2019
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.
Language: English
Country/Region of Manufacture: CH
Item Height: 235mm
Item Length: 155mm
Release Year: 2019
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