国外电子与通信教材系列：数字图像处理（MATLAB版）（英文版）

图书标准信息

• 作者 [美]冈萨雷斯 著
• 出版社 电子工业出版社
• 出版时间 2009-12
• 版次 1
• ISBN 9787121096006
• 定价 65.00元
• 装帧 平装
• 开本 16开
• 纸张 胶版纸
• 页数 609页
• 字数 1143千字
• 正文语种 英语
• 丛书 国外电子与通信教材系列

【内容简介】

《数字图像处理（MATLAB版）（英文版）》是图像处理理论与以MATLAB为主要工具的软件实践方法相结合的第一《数字图像处理（MATLAB版）（英文版）》。特色在于重点强调如何通过开发新代码来加强软件工具。介绍MATLAB编程基础知识之后，讲述了图像处理的主干内容，包括灰度变换、线性和非线性空间滤波、频率域滤波、图像恢复与配准、彩色图像处理、小波、图像数据压缩、形态学图像处理、图像分割、区域和边界表示与描述，以及目标识别。
《数字图像处理（MATLAB版）（英文版）》可供从事信号与信息处理、计算机科学与技术、通信工程、地球物理等专业的大专院校师生学习参考。

【目录】

Introduction
Preview
Background
WhatIsDigitalImageProcessing?
BackgroundonMATLABandtheImageProcessingToolbox
AreasofImageProcessingCoveredintheBook
TheBookWebSite
Notation
TheMATLABWorkingEnvironment
TheMATLABDesktop
UsingtheMATLABEditortoCreateM-Files
GettingHelp
SavingandRetrievingaWorkSession
HowReferencesAreOrganizedintheBook
Summary11

Fundamentals
Preview
DigitalImageRepresentatiOn
CoordinateConvenfions
ImagesasMatrices
ReadingImages
DisplayingImages
WritingImages
DataClasses
ImageTypes
IntensityImages
BinaryImages
ANoteonTerminology
ConvertingbetweenDataClassesandImageTypes
ConvertingbetweenDataClasses
ConvertingbetweenImageClassesandTypes
ArrayIndexing
VectorIndexing
MatrixIndexing
SelectingArrayDimensions
SomeImportantStandardArrays
IntroductiontoM-FunctionProgramming
M-Files
Operators
FlowControl
CodeOptimization
InteractiveI/O
ABriefIntroductiontoCellArraysandStructures
Summary

IntensityTransformationsandSpatialFiltering
Preview
Background
IntensityTransformationFunctions
Functionimadjust
LogarithmicandContrast-StretchingTransformations
SomeUtilityM-FunctionsforIntensityTransformations
HistogramProcessingandFunctionPlotting
GeneratingandPlottingImageHistograms
HistogramEqualization
HistogramMatching（Specification）
SpatialFiltering
LinearSpatialFiltering
NonlinearSpatialFiltering
ImageProcessingToolboxStandardSpatialFilters
LinearSpatialFilters
NonlinearSpatialFilters
Summary

FrequencyDomainProcessing
Preview
The2-DDiscreteFourierTransform
ComputingandVisualizingthe2-DDFTinMATLAB
FilteringintheFrequencyDomain
FundamentalConcepts
BasicStepsinDFTFiltering
AnM-functionforFilteringintheFrequencyDomain
ObtainingFrequencyDomainFiltersfromSpatialFilters
GeneratingFiltersDirectlyintheFrequencyDomain
CreatingMeshgridArraysforUseinImplementingFilters
intheFrequencyDomain
LowpassFrequencyDomainFilters
WireframeandSurfacePlotting
SharpeningFrequencyDomainFilters
BasicHighpassFiltering
High-FrequencyEmphasisFiltering
Summary

ImageRestoration
Preview
AModeloftheImageDegradation/RestorationProcess
NoiseModels
AddingNoisewithFunctionimnoise
GeneratingSpatialRandomNoisewithaSpecified
Distribution
PeriodicNoise
EstimatingNoiseParameters
RestorationinthePresenceofNoiseOnlymSpatialFiltering
SpatialNoiseFilters
AdaptiveSpatialFilters
PeriodicNoiseReductionbyFrequencyDomainFiltering
ModelingtheDegradationFunction
DirectInverseFiltering
WienerFiltering
ConstrainedLeastSquares（Regularized）Filtering
IterativeNonlinearRestorationUsingtheLucy-Richardson
Algorithm
BlindDeconvolution
GeometricTransformationsandImageRegistration
GeometricSpatialTransformations
ApplyingSpatialTransformationstoImages
ImageRegistration
Summary

ColorImageProcessing
Preview
ColorImageRepresentationinMATLAB
RGBImages
IndexedImages
IPTFunctionsforManipulatingRGBandIndexedImages
ConvertingtoOtherColorSpaces
NTSCColorSpace
TheYCbCrColorSpace
TheHSVColorSpace
TheCMYandCMYKColorSpaces
TheHSIColorSpace
TheBasicsofColorImageProcessing
ColorTransformations
SpatialFilteringofColorImages
ColorImageSmoothing
ColorImageSharpening
WorkingDirectlyinRGBVectorSpace
ColorEdgeDetectionUsingtheGradient
ImageSegmentationinRGBVectorSpace
Summary

Wavelets
Preview
Background
TheFastWaveletTransform
FWTsUsingtheWaveletToolbox
FWTswithouttheWaveletToolbox
WorkingwithWaveletDecompositionStructures
EditingWaveletDecompositionCoefficientswithout
theWaveletToolbox
DisplayingWaveletDecompositionCoefficients
TheInverseFastWaveletTransform
WaveletsinImageProcessing
Summary

ImageCompression
Preview
Background
CodingRedundancy
HuffmanCodes
HuffmanEncoding
HuffmanDecoding
InterpixelRedundancy
PsychovisualRedundancy
JPEGCompression
JPEG
JPEG2000
Summary

MorphologicalImageProcessing
Preview
Preliminaries
SomeBasicConceptsfromSetTheory
BinaryImages,Sets,andLogicalOperators
DilationandErosion
Dilation
StructuringElementDecomposition
ThestrelFunction
Erosion
……
ImageSegmentation
RepresentationandDexcription
ObjectRecognition
AppendixAFunctionSummary
AppendixBICEandMATLABGraphicalUserInterfaces
AppendixCM-Functions
Bibliography
Index