数字图像处理
2007-9
电子工业
冈萨雷斯
793
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本书是数字图像信息处理领域的一本经典著作，是20多年来此领域最权威的教材之一。与1977年问世的本书第一版相比，进行了重要修订和扩充，增加了关于小波变换、图像形态学和彩色图像处理的章节，并新增了500多幅图像和200多幅图表。全书共分12章，首先介绍了数字图像基础、空间域和频域的图像增强；然后讨论了图像复原、彩色图像处理、小波变换及多分辨率处理和图像压缩；最后讲述了形态学图像处理、图像分割、表示与描述以及目标识别等。本书侧重于对数字图像处理基本概念和方法的介绍，并为本领域的进一步学习和研究奠定了坚实的基础。全书概念清楚、深入浅出、图文并茂，并且反映了数字图像处理领域的最新发展情况。
Rafael G.Gonzalez，于佛罗里达大学电气工程系获博士学位，田纳西大学电气与计算机工程系教授，田纳西大学图像与模式分析实验室、机器人与计算机视觉实验室的创始人及IEEE会士。冈萨雷斯博士在模式识别、图像处理和机器人领域编写或与人合著了100多篇技术文章、编了两本书并写作了5本教材，他的书已在世界500多所大学和研究所使用。
1 Introduction1.1 What Is Digital Image Processing?1.2 The Origins of Digital Image Processing1.3 Examples of Fields that Use Digital Image Processing1.3.1 Gamma-Ray Imaging1.3.2 X-ray Imaging1.3.3 Imaging in the Ultraviolet Band1.3.4 Imaging in the Visible and Infrarea Bands1.3.5 Imaging in the Microwave Band1.3.6 Imaging in the Radio Band1.3.7 Examples in which Other Imaging Modalities Are Used1.4 Fundamental Steps in Digital Image Processjna1.5 Components of an Image Processing SystemSummaryReferences ana further Reading2 Digital Image Fundamentals2.1 Elements of Visual Perception2.1.1 Structure of the Human Eye2.1.2 Image Formation in the Eye2.1.3 Brightness Adaptation and Discrimination2.2 Light and the Electromagnetic Spectrum2.3 Image Sensing and Acquisition2.3.1 Image Acquisition Using a Single Sensor2.3.2 Image Acquisition Using Sensor Strips2.3.3 Image Acquisition Using Sensor Arrays2.3.4 A Simple Image Formation Model2.4 Image Sampling and Quantization2.4.1 Basic Concepts in Sampling and Quantization2.4.2 Representing Digital Images2.4.3 Spatial and Gray-Level Resolution2.4.4 Aliasing and Moire Patterns2.4.5 Zooming and Shrinking Digital Images2.5 Some Basic Relationships Between Pixels2.5.1 Neighbors of a Pixel2.5.2 Adjacency, Connectivity, Regions, and Boundaries2.5.3 Distance Measures2.5.4 Image Operations on a Pixel Basis2.6 Linear and Nonlinear OperationsSummaryReferences and Further ReadingProblems3 Image Enhancement in the Spatial Domain3.1 Background3.2 Some Basic Gray Level Transformations3.2.1 Image Negatives3.2.2 Log Transformations3.2.3 Power-Law Transformations3.2.4 Piecewise-Linear Transformation Functions3.3 Histogram Processing3.3.1 Histogram Equalization3.3.2 Histogram Matching (Specification)3.3.3 Local Enhancement3.3.4 Use of Histogram Statistics for Image Enhancement3.4 Enhancement Using Arithmetic/Logic Operations3.4.1 Image Subtraction3.4.2 Image Averaging3.5 Basics of Spatial Filtering3.6 Smoothing Spatial Filters3.6.1 Smoothing Linear Filters3.6.2 Order-Statistics Filters3.7 Sharpening Spatial Filters3.7.1 Foundation3.7.2 Use of Second Derivatives for Enhancement-The Laplacian3.7.3 Use of First Derivatives for Enhancement-The Gradient3.8 Combining Spatial Enhancement MethodsSummaryReferences and Further ReadingProblems4 Image Enhancement in the Frequency Domain4.1 Background……5 Image Restoration6 Color Image Processing7 Wavelets and Multiresolution Processing8 Image Compression9 Morphgical Image Processing10 Image Segmentation11 Represiontation and Description12 Object Recognition
《数字图像处理》（第2版）（英文版） 主要适用于信号与信息处理、计算机科学与技术、自动化、电子科学与技术、通信工程、地球物理、生物工程、物理、化学、医学、遥感等领域的大学教师、科技工作者、研究生、大学本科高年级学生以及工程技术人员。
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