Handbook of Texture Analysis: Generalized Texture for AI-Based Industrial Applications

El-Baz, Ayman, Ghazal, Mohammad, Suri, Jasjit S.

Handbook of Texture Analysis: Generalized Texture for AI-Based Industrial Applications
  • 出版商: CRC
  • 出版日期: 2024-06-24
  • 售價: $6,310
  • 貴賓價: 9.5 折 $5,995
  • 語言: 英文
  • 頁數: 204
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 0367483440
  • ISBN-13: 9780367483449

    • 海外代購書籍(需單獨結帳)

商品描述

The major goals of texture research in computer vision are to understand, model, and process texture, and ultimately, to simulate the human visual learning process using computer technologies. In the last decade, artificial intelligence has been revolutionized by machine learning and big data approaches, outperforming human prediction on a wide range of problems. In particular, deep learning convolutional neural networks (CNNs) are particularly well suited to texture analysis.

This book examines four major application domains related to texture analysis and their relationship to AI-based industrial applications: texture classification, texture segmentation, shape from texture, and texture synthesis. This volume:

  • Discusses texture-based segmentation for extracting image shape features, modeling and segmentation of noisy and textured images, spatially constrained color-texture model for image segmentation, and texture segmentation using Gabor filters
  • Examines textural features for image classification, a statistical approach for classification, texture classification from random features, and applications of texture classifications
  • Describes shape from texture, including general principles, 3D shapes, and equations for recovering shape from texture
  • Surveys texture modeling, including extraction based on Hough transformation and cycle detection, image quilting, gray level run lengths, and use of Markov random fields

Aimed at researchers, academics, and advanced students in biomedical engineering, image analysis, cognitive science, and computer science and engineering, this is an essential reference for those looking to advance their understanding in this applied and emergent field.

商品描述(中文翻譯)

紋理研究在計算機視覺中的主要目標是理解、建模和處理紋理，最終利用計算機技術模擬人類的視覺學習過程。在過去十年中，人工智慧因機器學習和大數據方法而發生了革命，並在廣泛的問題上超越了人類的預測。特別是，深度學習卷積神經網絡（CNN）特別適合於紋理分析。

本書探討了與紋理分析相關的四個主要應用領域及其與基於人工智慧的工業應用的關係：紋理分類、紋理分割、從紋理中重建形狀以及紋理合成。本卷：

- 討論基於紋理的分割，用於提取圖像形狀特徵、噪聲和紋理圖像的建模與分割、空間約束的顏色-紋理模型進行圖像分割，以及使用Gabor濾波器的紋理分割。
- 檢視圖像分類的紋理特徵、分類的統計方法、從隨機特徵進行的紋理分類，以及紋理分類的應用。
- 描述從紋理中重建形狀，包括一般原則、3D形狀以及從紋理中恢復形狀的方程式。
- 概述紋理建模，包括基於Hough變換和循環檢測的提取、圖像拼接、灰度級運行長度以及馬可夫隨機場的使用。

本書旨在為生物醫學工程、圖像分析、認知科學以及計算機科學與工程的研究人員、學者和高級學生提供參考，是希望在這一應用和新興領域中深化理解的讀者的重要參考資料。

作者簡介

Ayman El-Baz is a Distinguished Professor at University of Louisville, Kentucky, United States and University of Louisville at Alamein International University (UofL-AIU), New Alamein City, Egypt. Dr. El-Baz earned his B.Sc. and M.Sc. degrees in electrical engineering in 1997 and 2001, respectively. He earned his Ph.D. in electrical engineering from the University of Louisville in 2006. Dr. El-Baz was named as a Fellow for IEEE, Coulter, AIMBE and NAI for his contributions to the field of biomedical translational research. Dr. El-Baz has almost two decades of hands-on experience in the fields of bio-imaging modeling and non-invasive computer-assisted diagnosis systems. He has authored or coauthored more than 700 technical articles.

Mohammed Ghazal is a Professor and Chairman of the Department of Electrical, Computer, and Biomedical Engineering at the College of Engineering, Abu Dhabi University, UAE. His research areas are bioengineering, image and video processing, and smart systems. He received his Ph.D and M.A.Sc in Electrical and Computer Engineering (ECE) from Concordia University in Montreal Canada in 2010 and 2006, respectively, and his B.Sc. in Computer Engineering from the American University of Sharjah (AUS) in 2004. He has received multiple awards including the Distinguished Faculty Award of Abu Dhabi University in 2017 and 2014. Dr. Ghazal has authored or co-authored over 70 publications in recognized international journals and conferences including IEEE Transactions in Image Processing, IEEE Transactions in Circuits and Systems for Video Technology, IEEE Transactions in Consumer Electronics, Elsevier's Renewable Energy Reviews, and Springer's Multimedia Tools and Applications.

Jasjit S. Suri is an innovator, scientist, visionary, industrialist and an internationally known world leader in biomedical engineering. Dr. Suri has spent over 25 years in the field of biomedical engineering/devices and its management. He received his Ph.D. from the University of Washington, Seattle and his Business Management Sciences degree from Weatherhead, Case Western Reserve University, Cleveland, Ohio. Dr. Suri was crowned with President's Gold medal in 1980 and made Fellow of the American Institute of Medical and Biological Engineering for his outstanding contributions. In 2018, he was awarded the Marquis Life Time Achievement Award for his outstanding contributions and dedication to medical imaging and its management.

作者簡介(中文翻譯)

Ayman El-Baz 是美國肯塔基州路易斯維爾大學及埃及新阿拉梅因市的路易斯維爾大學阿拉梅因國際大學 (UofL-AIU) 的傑出教授。El-Baz 博士於1997年和2001年分別獲得電機工程學士和碩士學位，並於2006年在路易斯維爾大學獲得電機工程博士學位。因其在生物醫學轉譯研究領域的貢獻，El-Baz 博士被授予 IEEE、Coulter、AIMBE 和 NAI 的院士稱號。El-Baz 博士在生物成像建模和非侵入式電腦輔助診斷系統領域擁有近二十年的實務經驗。他已發表或共同發表超過700篇技術文章。

Mohammed Ghazal 是阿布達比大學工程學院電機、電腦及生物醫學工程系的教授及系主任。他的研究領域包括生物工程、影像與視頻處理以及智慧系統。他於2010年和2006年分別在加拿大蒙特利爾的康考迪亞大學獲得電機與電腦工程 (ECE) 的博士和碩士學位，並於2004年在沙迦美國大學獲得電腦工程學士學位。他曾獲得多項獎項，包括2017年和2014年的阿布達比大學傑出教職員獎。Ghazal 博士已在國際知名期刊和會議上發表或共同發表超過70篇論文，包括 IEEE 影像處理期刊、IEEE 視頻技術電路與系統期刊、IEEE 消費電子期刊、Elsevier 的可再生能源評論以及 Springer 的多媒體工具與應用。

Jasjit S. Suri 是一位創新者、科學家、願景家、工業家及國際知名的生物醫學工程領域領袖。Suri 博士在生物醫學工程/設備及其管理領域擁有超過25年的經驗。他在華盛頓大學獲得博士學位，並在俄亥俄州克里夫蘭的凱斯西儲大學 Weatherhead 獲得商業管理科學學位。因其卓越貢獻，Suri 博士於1980年獲得總統金獎勳章，並被美國醫療與生物工程學會授予院士稱號。2018年，他因對醫學影像及其管理的卓越貢獻和奉獻精神而獲得 Marquis 終身成就獎。

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