Handbook of Image Engineering

ISBN-13: 9789811558726 / Angielski / Twarda / 2021 / 1967 str.

Yu-Jin Zhang

Spis treści

Part 1 Image Fundamentals 1 Image Basics 2 Image Engineering 3 Image Acquisition Devices  4 Image Acquisition Modes 5 Image Digitization  6 Image Display and Printing  7 Image Storage and Communication  8 Related Knowledge  Part 2 Image Processing 9 Pixel Spatial Relationship  10 Image Transforms  11 Point Operations for Spatial Domain Enhancement  12 Mask Operations for Spatial Domain Enhancement  13 Frequency Domain Filtering  14 Image Restoration 15 Image Repair and Recovery  16 Image Reconstruction from Projection  17 Image Coding  18 Image Watermarking  19 Image Information Security  20 Color Image Processing  21 Video Image Processing  22 Multi-Resolution Image  Part 3 Image Analysis 23 Segmentation Introduction  24 Edge Detection  25 Object Segmentation Methods  26 Segmentation Evaluation  27 Object Representation  28 Object Description  29 Feature Measurement and Error Analysis  30 Texture Analysis  31 Shape Analysis  32 Motion Analysis  33 Image Pattern Recognition  34 Biometric Recognition  Part 4 Image Understanding 35 Theory of Image Understanding  36 3-D Representation and Description  37 Stereo Vision  38 Multi-image 3-D Scene Reconstruction  39 Single-image 3D Scene Reconstruction  40 Knowledge and Learning  41 General Image Matching  42 Scene Analysis and Interpretation  43 Image Information Fusion  44 Content-Based Retrieval  45 Spatial-Temporal Behavior Understanding  Part 5 Related References 46 Related Theories and Techniques  47 Optics 48 Mathematical Morphology for Binary Images  49 Mathematical Morphology for Gray-Level Images  50 Visual Sensation and Perception  51 Application of Image Technology  52 International Organizations and Standards 

O autorze

Yu-Jin ZHANG received his Ph.D. in Applied Science from the State University of Liège, Belgium, in 1989. From 1989 to 1993, he was a post-doctoral fellow and research fellow at the Delft University of Technology, in the Netherlands. In 1993, he joined Tsinghua University, Beijing, China, where he has been a Professor since 1997.

He has published over 500 research papers and book chapters, as well as more than 40 books, including three monographs: "Image Segmentation," "Content-based Visual Information Retrieval," and "Subspace-based Face Recognition," one dictionary: "An English-Chinese Dictionary of Image Engineering" (1st edition and 2nd edition), and three edited books: "Advances in Image and Video Segmentation" and "Semantic-Based Visual Information Retrieval" (IRM Press, USA), and "Advances in Face Image Analysis: Techniques and Technologies " (IGI Global, USA).

He was/is the Vice President of the China Society of Image and Graphics (2002 ~ 2011, 2016 ~), the associate editor of "Pattern Recognition Letters," the "International Journal of Image and Graphics," "Optical Engineering," "Journal of Electronics and Information," "Journal of CAD and Computer Graphics," "Signal Processing," and "Acta Automatica Sinica". He was the program chair of "The Twenty-Fourth International Conference on Image Processing (ICIP'2017), as well as a number of international conferences. He has been a senior member of IEEE (since 1999), and a fellow of SPIE (since 2011).

Blurb

Image techniques have been developed and implemented for various purposes, and image engineering (IE) is a rapidly evolving, integrated discipline  comprising the study of all the different branches of image techniques, and  encompassing mathematics, physics, biology, physiology, psychology, electrical engineering, computer science and automation. Advances in the field are also closely related to the development of telecommunications, biomedical engineering, remote sensing, surveying and mapping, as well as document processing and industrial applications.

IE involves three related and partially overlapping groups of image techniques: image processing (IP) (in its narrow sense), image analysis (IA) and image understanding (IU), and the integration of these three groups makes the discipline of image engineering an important part of the modern information era.

This is the first handbook on image engineering, and provides a well-structured, comprehensive overview of this new discipline. It also offers detailed information on the various image techniques. It is a valuable reference resource for R&D professional and undergraduate students involved in image-related activities.