The Image Processing Handbook (English) 7th 版本

Consistently rated as the best overall introduction to computer-based image processing, The Image Processing Handbook covers two-dimensional (2D) and three-dimensional (3D) imaging techniques, image printing and storage methods, image processing algorithms, image and feature measurement, quantitative image measurement analysis, and more.

Incorporating image processing and analysis examples at all scales, from nano- to astro-, this Seventh Edition:

• Features a greater range of computationally intensive algorithms than previous versions
• Provides better organization, more quantitative results, and new material on recent developments
• Includes completely rewritten chapters on 3D imaging and a thoroughly revamped chapter on statistical analysis
• Contains more than 1700 references to theory, methods, and applications in a wide variety of disciplines
• Presents 500+ entirely new figures and images, with more than two-thirds appearing in color

The Image Processing Handbook, Seventh Edition delivers an accessible and up-to-date treatment of image processing, offering broad coverage and comparison of algorithms, approaches, and outcomes.

《影像處理手冊》被一致評為最佳的電腦影像處理入門書籍，涵蓋了二維和三維影像技術、影像列印和儲存方法、影像處理演算法、影像和特徵測量、定量影像測量分析等內容。

第七版的《影像處理手冊》融合了各種尺度的影像處理和分析範例，從納米到天文學，具有以下特點：

- 比之前版本包含更多計算密集型演算法
- 提供更好的組織結構、更多的定量結果和關於最新發展的新內容
- 完全重寫了關於三維影像的章節，並徹底改版了關於統計分析的章節
- 包含超過1700個參考文獻，涵蓋了各種學科的理論、方法和應用
- 提供了500多個全新的圖片和影像，其中超過三分之二是彩色的

《影像處理手冊》第七版提供了一個易於理解且最新的影像處理方法，涵蓋了各種演算法、方法和結果的比較。

John C. Russ has used image processing and analysis as a principal tool for understanding and characterizing the structure and function of materials throughout his more than 50-year career as a scientist and educator. Much of Russ' research work has been concerned with the microstructure and surface topography of metals and ceramics. He has received funding for his research from government agencies and from industry. Teaching the principles and methods involved to several thousand students--in addition to consulting for many industrial clients--has further broadened Dr. Russ' experience and the scope of applications for image processing and analysis. He continues to write and consult for a variety of companies (and to provide expert testimony in criminal and civil cases). He also still teaches image processing and analysis workshops worldwide and reviews publications and funding proposals.

F. Brent Neal is a scientist and industrial researcher with Milliken Research Corporation, where he currently leads the central materials characterization and analytical chemistry facility. In this role, he leads efforts in technology and product development through deep understanding of materials performance. He has three patents issued or pending based on his work in polymer-matrix composites. Prior to his tenure at Milliken Research Corporation, he consulted and developed bespoke software for quantitative image analysis. He received his Ph.D in solid-state physics from Louisiana State University in 2002. Over the course of his career, he has measured and analyzed images from many different fields and his experience in materials characterization and measurement has been applied everywhere from the lab bench to manufacturing plants.

John C. Russ在他超過50年的科學家和教育家生涯中，一直將影像處理和分析作為理解和表徵材料結構和功能的主要工具。Russ的研究工作大部分涉及金屬和陶瓷的微觀結構和表面形貌。他的研究獲得了政府機構和工業界的資助。除了為許多工業客戶提供諮詢服務外，他還教授了數千名學生有關影像處理和分析的原則和方法，這進一步擴大了Russ博士的經驗和影像處理和分析的應用範圍。他繼續為各種公司撰寫和提供諮詢服務（並在刑事和民事案件中提供專家證詞）。他還在全球范圍內教授影像處理和分析工作坊，並審查出版物和資金提案。

F. Brent Neal是Milliken Research Corporation的科學家和工業研究員，目前負責領導中央材料表徵和分析化學設施。在這個角色中，他通過對材料性能的深入理解，領導技術和產品開發工作。他在聚合物基復合材料方面的工作已經獲得了三項專利。在加入Milliken Research Corporation之前，他曾為定量影像分析開發定制軟件並提供諮詢服務。他於2002年在路易斯安那州立大學獲得固態物理學博士學位。在他的職業生涯中，他測量和分析了許多不同領域的影像，他在材料表徵和測量方面的經驗已經應用於從實驗室到製造廠的各個領域。