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《數字圖像處理》是數字圖像處理領域理論與實踐相結閤的成功之作，也是經典之作。全書強調如何應用理論知識解決工業和科學研究中常見的實際問題，著重闡述瞭數字圖像處理的基本概念和實用技術，使讀者能夠使用這些技術解決數字圖像處理中所遇到的各種問題。全書首先講述數字化圖像及其顯示以及圖像處理軟件，接著講解點、代數和幾何運算，之後講解綫性係統理論、傅裏葉變換、離散圖像變換和小波變換，再後講解圖像復原、圖像壓縮和模式識彆，最後講解彩色、多光譜圖像處理和三維圖像處理。

Kenneth R.Castleman，於1967年和1970年在Texas大學Austin分校獲電子工程碩士和生物醫學工程博士學位，早年曾在CalTech任教和從事研究工作，講授“數字圖像處理”課程。其後的幾十年裏，曾在USC、UCLA、NASA/JPL等著名學校或重要機構任職，1991年至今任Perceptive Scientific Instruments（PSI）公司主管兄＆D的副總裁，從事醫學圖像研究和應用産品開發。

Part One
1 IMAGES AND DIGITAL PROCESSING
1.1 Introduction
1.2 The Elements of Digital Image Processing
1.3 Philosophical Considerations
1.4 Digital Image Processing in Practice
Problems
References
2 DIGITIZING IMAGES
2.1 Introduction
2.2 Characteristics of an Image Digitizer
2.3 Types of Image Digitizers
2.4 Image-Digitizing Components
2.5 Electronic Image Tube Cameras
2.6 Solid-State Cameras
2.7 Film Scanning
2.8 Summary of Important Points
Problems
Projects
References
3 DIGITAL IMAGE DISPLAY
3.1 Introduction
3.2 Display Characteristics
3.3 Volatile Displays
3.4 Permanent Displays
3.5 Summary of Important Points
Problems
Projects
References
4 IMAGE-PROCESSING SOFTWARE
4.1 Introduction
4.2 Image-Processing Systems
4.3 The User Interface
4.4 The Software Development Process
4.5 Summary of Important Points
Problems
Projects
References
5 THE GRAY-LEVEL HISTOGRAM
5.1 Introduction
5.2 Uses of the Histogram
5.3 Relationship Between Histogram and Image
5.4 Summary of Important Points
Problems
Projects
References
6 POINT OPERATIONS
6.1 Introduction
6.2 Point Operations and the Histogram
6.3 Applications of Point Operations
6.4 Summary of Important Points
Problems
Projects
7 ALGEBRAIC OPERATIONS
7.1 Introduction
7.2 Algebraic Operations and the Histogram
8 GEOMETRIC OPERATIONS
……
Part Two
9 LINEAR SYSTEM THEORY
10 THE FOURIER TRANSFORM
11 FILTER DESIGN
12 PROCESSING SAMPLED DATA
13 DISCRETE IMAGE TRANSFORMS
14 WAVELET TRANSFORMS
15 OPTICS AND SYSTEM ANALYSIS
Part Three
16 IMAGE RESTORATION
17 IMAGE PRESSION
18 PATTERN RECOGNITION: IMAGE SEGMENTATION
19 PATTERN RECOGNITION: OBJECT MEASUREMENT
20 PATTERN RECOGNITION: CLASSIFICATION AND ESTIMATION
21 COLOR AND MULTISPECTRAL IMAGE PROCESSING
22 THREE-DIMENSIONAL IMAGE PROCESSING
A1 GLOSSARY OF IMAGE PROCESSING TERMS
A2 BIBLIOGRAPHY
A3 MATHEMATICAL BACKGROUND
INDEX
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