Image Texture Analysis: Foundations, Models and Algorithms

Hung, Chih-Cheng, Song, Enmin, Lan, Yihua

  • 出版商: Springer
  • 出版日期: 2019-06-17
  • 售價: $2,800
  • 貴賓價: 9.5$2,660
  • 語言: 英文
  • 頁數: 259
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3030137724
  • ISBN-13: 9783030137724
  • 相關分類: Algorithms-data-structures
  • 立即出貨 (庫存 < 3)

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商品描述

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.

 

商品描述(中文翻譯)

這本有用的教科書/參考書提供了一個易於理解的入門指南,介紹了影像紋理分析的基礎知識,以及提取和分類影像紋理的K-views模型。本書分為三個部分,首先回顧了現有的影像紋理分析模型和算法,然後深入介紹了K-views模型的細節。最後,本書討論了用於影像紋理分析的流行深度學習方法。

本書的主題和特點包括:每章提供自我測試練習;描述影像紋理、紋理特徵以及影像紋理分類和分割的基礎知識;檢視一些常用的測量和提取紋理特徵的方法,以及各種紋理分類的算法;解釋降維和稀疏表示的概念;討論基於視角的影像分類方法;介紹K-views算法的模板以及該算法的各種變體;回顧幾種用於深度機器學習的神經網絡模型,並特別關注卷積神經網絡。

這本介紹性的影像紋理分析教材非常適合計算機科學高年級本科生和研究生的初學者,他們將從本書中提供的許多例子中受益。

作者簡介

Dr. Chih-Cheng Hung is a Tenured Professor of Computer Science in the College of Computing and Software Engineering at Kennesaw State University, where he serves as the Director of the Center for Machine Vision and Security Research. He also holds the position of YinDu Scholar at Anyang Normal University, China.

Dr. Enmin Song is a Professor and Director of the Department of Computer Science and Application at Huazhong University of Science and Technology, Wuhan, China.

Dr. Yihua Lan is an Associate Professor of Computer Science in the School of Computer and Information Technology at Nanyang Normal University, China.

作者簡介(中文翻譯)

洪志成博士是肯尼索州立大學計算機科學學院的終身教授,並擔任機器視覺與安全研究中心的主任。他還擔任中國安陽師範大學的尹都學者職位。

宋恩民博士是中國華中科技大學計算機科學與應用系的教授和系主任。

藍一華博士是中國南陽師範大學計算機與信息技術學院的副教授。