Image Processing and Analysis with Graphs: Theory and Practice
暫譯: 圖像處理與分析：圖形的理論與實踐
Lezoray, Olivier, Grady, Leo
- 出版商: CRC
- 出版日期: 2017-03-29
- 售價: $3,790
- 貴賓價: 9.5 折 $3,601
- 語言: 英文
- 頁數: 570
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1138071765
- ISBN-13: 9781138071766
海外代購書籍(需單獨結帳)
商品描述
Covering the theoretical aspects of image processing and analysis through the use of graphs in the representation and analysis of objects, Image Processing and Analysis with Graphs: Theory and Practice also demonstrates how these concepts are indispensible for the design of cutting-edge solutions for real-world applications.
Explores new applications in computational photography, image and video processing, computer graphics, recognition, medical and biomedical imaging
With the explosive growth in image production, in everything from digital photographs to medical scans, there has been a drastic increase in the number of applications based on digital images. This book explores how graphs--which are suitable to represent any discrete data by modeling neighborhood relationships--have emerged as the perfect unified tool to represent, process, and analyze images. It also explains why graphs are ideal for defining graph-theoretical algorithms that enable the processing of functions, making it possible to draw on the rich literature of combinatorial optimization to produce highly efficient solutions.
Some key subjects covered in the book include:
- Definition of graph-theoretical algorithms that enable denoising and image enhancement
- Energy minimization and modeling of pixel-labeling problems with graph cuts and Markov Random Fields
- Image processing with graphs: targeted segmentation, partial differential equations, mathematical morphology, and wavelets
- Analysis of the similarity between objects with graph matching
- Adaptation and use of graph-theoretical algorithms for specific imaging applications in computational photography, computer vision, and medical and biomedical imaging
Use of graphs has become very influential in computer science and has led to many applications in denoising, enhancement, restoration, and object extraction. Accounting for the wide variety of problems being solved with graphs in image processing and computer vision, this book is a contributed volume of chapters written by renowned experts who address specific techniques or applications. This state-of-the-art overview provides application examples that illustrate practical application of theoretical algorithms. Useful as a support for graduate courses in image processing and computer vision, it is also perfect as a reference for practicing engineers working on development and implementation of image processing and analysis algorithms.
商品描述(中文翻譯)
涵蓋了圖像處理和分析的理論方面，通過使用圖形來表示和分析物體，《圖形的圖像處理與分析：理論與實踐》還展示了這些概念對於設計尖端解決方案以應用於現實世界的重要性。
探索計算攝影、圖像和視頻處理、計算機圖形學、識別、醫療和生物醫學成像的新應用
隨著圖像產生的爆炸性增長，從數位照片到醫療掃描，基於數位圖像的應用數量急劇增加。本書探討了圖形如何成為表示、處理和分析圖像的完美統一工具，因為圖形適合通過建模鄰域關係來表示任何離散數據。它還解釋了為什麼圖形非常適合定義圖論算法，這些算法使得處理函數成為可能，並能夠利用組合優化的豐富文獻來產生高效的解決方案。
本書涵蓋的一些關鍵主題包括：
- 定義能夠去噪和增強圖像的圖論算法
- 使用圖切割和馬爾可夫隨機場進行能量最小化和像素標記問題建模
- 使用圖形進行圖像處理：目標分割、偏微分方程、數學形態學和小波
- 通過圖形匹配分析物體之間的相似性
- 針對計算攝影、計算機視覺以及醫療和生物醫學成像的特定成像應用，調整和使用圖論算法
圖形的使用在計算機科學中變得非常有影響力，並導致了許多在去噪、增強、恢復和物體提取方面的應用。考慮到在圖像處理和計算機視覺中使用圖形解決的各種問題，本書是一部由知名專家撰寫的章節貢獻集，這些專家針對特定技術或應用進行探討。這本最先進的概述提供了應用示例，說明了理論算法的實際應用。作為圖像處理和計算機視覺研究生課程的支持材料，它也非常適合作為從事圖像處理和分析算法開發與實施的工程師的參考。
作者簡介
Olivier Lézoray received his B.Sc. in mathematics and computer science, as well as his M.Sc. and Ph.D. degrees from the Department of Computer Science, University of Caen, France, in 1992, 1996, and 2000, respectively. From September 1999 to August 2000, he was an assistant professor with the Department of Computer Science at the University of Caen. From September 2000 to August 2009, he was an associate professor at the Cherbourg Institute of Technology of the University of Caen, in the Communication Networks and Services Department. In July 2008, he was a visiting research fellow at the University of Sydney, Australia. Since September 2009, he has been a full professor at the Cherbourg Institute of Technology of the University of Caen, in the Communication Networks and Services Department. He also serves as Chair of the Institute Research Committee. In 2011 he cofounded Datexim and is a member of the scientific board of the company, which brought state-of-art image and data processing to market with applications in digital pathology. His research focuses on discrete models on graphs for image processing and analysis, image data classification by machine learning, and computer-aided diagnosis.
Leo Grady received his B.Sc. degree in electrical engineering from the University of Vermont in 1999 and a Ph.D. degree from the Cognitive and Neural Systems Department at Boston University in 2003. Dr. Grady was with Siemens Corporate Research in Princeton, where he worked as a Principal Research Scientist in the Image Analytics and Informatics division. He recently left Siemens to become Vice President of R&D at HeartFlow. The focus of his research has been on the modeling of images and other data with graphs. These graph models have generated the development and application of tools from discrete calculus, combinatorial/continuous optimization, and network analytics to perform analysis and synthesis of the images/data. The primary applications of his work have been in computer vision and biomedical applications. Dr. Grady currently holds 30 granted patents with more than 40 additional patents currently under review. He has also contributed to more than 20 Siemens products that target biomedical applications and are used in medical centers worldwide.
作者簡介(中文翻譯)
Olivier Lézoray 於1992年獲得法國卡昂大學計算機科學系的數學與計算機科學學士學位，並於1996年和2000年獲得碩士及博士學位。從1999年9月到2000年8月，他擔任卡昂大學計算機科學系的助理教授。從2000年9月到2009年8月，他在卡昂大學的謝爾堡科技學院擔任副教授，任職於通信網路與服務系。2008年7月，他曾在澳大利亞悉尼大學擔任訪問研究員。自2009年9月以來，他在卡昂大學的謝爾堡科技學院擔任全職教授，任職於通信網路與服務系。他還擔任該研究所研究委員會的主席。2011年，他共同創立了Datexim，並成為該公司的科學委員會成員，該公司將最先進的影像和數據處理技術推向市場，應用於數位病理學。他的研究專注於圖形上的離散模型，用於影像處理與分析、機器學習的影像數據分類，以及電腦輔助診斷。
Leo Grady 於1999年獲得佛蒙特大學的電機工程學士學位，並於2003年在波士頓大學的認知與神經系統系獲得博士學位。Grady博士曾在普林斯頓的西門子企業研究所擔任影像分析與資訊學部的首席研究科學家。他最近離開西門子，成為HeartFlow的研發副總裁。他的研究重點是使用圖形對影像和其他數據進行建模。這些圖形模型促進了離散微積分、組合/連續優化和網路分析工具的開發與應用，以進行影像/數據的分析與合成。他的工作主要應用於計算機視覺和生物醫學應用。Grady博士目前擁有30項已授權專利，並有超過40項專利正在審核中。他還為超過20項針對生物醫學應用的西門子產品做出了貢獻，這些產品在全球的醫療中心中使用。
