|
Image Engineering Volume 3: Image Understanding Yu-Jin ZHANG De GRUYTER£¬2017 |
|
|
|
ISBN: 978-3-11-052034-7, PDF ISBN: 978-3-11-052413-0, EPUB ISBN: 978-3-11-052423-9 |
|
Preface |
This book is the Volume III of "Image Engineering", which is focused on "Image Understanding", the high-layer of image engineering. This book has grown out of the author¡¯s research experience and teaching prac-tices for full-time undergraduate and graduate students at various universities, as well as for students and engineers taking summer courses, in more than 20 years. It is prepared with students and instructors in mind with the principal objective of introducing basic concepts, theories, methodologies, and techniques of image engineering in a vivid and pragmatic manner. Image engineering is a broad subject encompassing computer science, electrical and electronic engineering, as well as mathematics, physics, physiology, and psychology. Readers of this book should have some preliminary background in one of these areas. Knowledge of linear system theory, vector algebra, probabil-ity, and random process would be beneficial but may not necessary. This book consists of eight chapters covering the main branches of image under-standing. It has totally 57 sections, 94 sub-sections, with 176 figures, 16 tables, and 409 numbered equations in addition to 51 examples and 96 problems (the solutions for 16 of them are provided in this book). Moreover, over 200 key ref-erences are given at the end of book for futrther study. This book can be used for the third course "Image Processing" in the course series of image engineering, for graduate students in the disciplines of computer sci-ence, electrical and electronic engineering, image pattern recognition, information processing, and intelligent information systems, etc. It can also be of great help to scientists and engineers doing research and development in connection within related areas. Special thanks go to De Gruyter and Tsinghua University Press, and their staff members. Their kind and professional assistance are truly appreciated. Last but not least, I am deeply indebted to my wife and my daughter for their encouragement, patience, support, tolerance, and understanding during the writ-ing of this book. |
|
Contents |
Chapter 1 Introduction to Image Understanding Chapter 2 Stereo Vision Chapter 3 3-D Shape Information Recovery Chapter 4 Matching and Understanding Chapter 5 Scene Analysis and Semantic Interpretation Chapter 6 Multi-Sensor Image Fusion Chapter 7 Content-Based Image Retrieval Chapter 8 Spatial-Temporal Behavior Understanding |
Back to Books ·µ»ØÊé¼® |
|---|---|
