数字图像处理 [阮秋琦 注释]

图书标准信息

• 作者 Rafael、Richard、Steven L.Eddins 著
• 出版社 电子工业出版社
• 出版时间 2013-04
• 版次 2
• ISBN 9787121195440
• 定价 89.00元
• 装帧 平装
• 开本 16开
• 纸张 胶版纸
• 页数 756页
• 字数 99999千字
• 正文语种 简体中文，英语
• 原版书名 Digital Image Processing Using MATLAB Second Edition
• 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）（第2版）（英文版）》是图像处理基础理论论述同以MATLAB为主要工具的软件实践方法相对照的第一《数字图像处理（MATLAB版）（第2版）（英文版）》。《数字图像处理（MATLAB版）（第2版）（英文版）》集成了冈萨雷斯和伍兹所著的《数字图像处理（第三版）》一书中重要的原文材料和MathWorks公司的图像处理工具箱。《数字图像处理（MATLAB版）（第2版）（英文版）》的特色在于重点强调怎样通过开发新代码来加强这些软件工具。《数字图像处理（MATLAB版）（第2版）（英文版）》在介绍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、图像复原与重建、几何变换和图像配准、彩色图像处理、小波、图像压缩、形态学图像处理、图像分割、区域和边界表示与描述。

【作者简介】

　　RafaelC.Gonzalez，于福罗里达大学电子工程系获得博士学位，田纳西大学电气和计算机工程系教授，田纳西大学图像和模式分析实验室、机器人和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多篇技术文章两本书和4本教材，他的书已被世界1000多所大学和研究所采用。

【目录】

Contents
Preface
Acknowledgements
AbouttheAuthors
1Introduction
Preview
1.1Background
1.2WhatIsDigitalImageProcessing?
1.3BackgroundonMATLABandtheImageProcessingToolbox
1.4AreasofImageProcessingCoveredintheBook
1.5TheBookWebSite
1.6Notation
1.7Fundamentals
1.7.1TheMATLABDesktop
1.7.2UsingtheMATLABEditor/Debugger
1.7.3GettingHelp
1.7.4SavingandRetrievingWorkSessionData
1.7.5DigitalImageRepresentation
1.7.6ImageI/OandDisplay
1.7.7ClassesandImageTypes
1.7.8M-FunctionProgramming
1.8HowReferencesAreOrganizedintheBook
Summary
2IntensityTransformationsandSpatialFiltering
Preview
2.1Background
2.2IntensityTransformationFunctions
2.2.1Functionsimadjustandstretchlim
2.2.2LogarithmicandContrast-StretchingTransformations
2.2.3SpecifyingArbitraryIntensityTransformations
2.2.4SomeUtilityM-functionsforIntensityTransformations
2.3HistogramProcessingandFunctionPlotting
2.3.1GeneratingandPlottingImageHistograms
2.3.2HistogramEqualization
2.3.3HistogramMatching（Specification）
2.3.4Functionadapthisteq
2.4SpatialFiltering
2.4.1LinearSpatialFiltering
2.4.2NonlinearSpatialFiltering
2.5ImageProcessingToolboxStandardSpatialFilters
2.5.1LinearSpatialFilters
2.5.2NonlinearSpatialFilters
2.6UsingFuzzyTechniquesforIntensityTransformationsandSpatial
Filtering
2.6.1Background
2.6.2IntroductiontoFuzzySets
2.6.3UsingFuzzySets
2.6.4ASetofCustomFuzzyM-functions
2.6.5UsingFuzzySetsforIntensityTransformations
2.6.6UsingFuzzySetsforSpatialFiltering
Summary
3FilteringintheFrequencyDomain
Preview
3.1The2-DDiscreteFourierTransform
3.2ComputingandVisualizingthe2-DDFTinMATLAB
3.3FilteringintheFrequencyDomain
3.3.1Fundamentals
3.3.2BasicStepsinDFTFiltering
3.3.3AnM-functionforFilteringintheFrequencyDomain
3.4ObtainingFrequencyDomainFiltersfromSpatialFilters
3.5GeneratingFiltersDirectlyintheFrequencyDomain
3.5.1CreatingMeshgridArraysforUseinImplementingFilters
intheFrequencyDomain
3.5.2Lowpass（Smoothing）FrequencyDomainFilters
3.5.3WireframeandSurfacePlotting
3.6Highpass（Sharpening）FrequencyDomainFilters
3.6.1AFunctionforHighpassFiltering
3.6.2High-FrequencyEmphasisFiltering
3.7SelectiveFiltering
3.7.1BandrejectandBandpassFilters
3.7.2NotchrejectandNotchpassFilters
Summary
4ImageRestorationandReconstruction
Preview
4.1AModeloftheImageDegradation/RestorationProcess
4.2NoiseModels
4.2.1AddingNoisetoImageswithFunctionimnoise
4.2.2GeneratingSpatialRandomNoisewithaSpecified
Distribution
4.2.3PeriodicNoise
4.2.4EstimatingNoiseParameters
4.3RestorationinthePresenceofNoiseOnly-SpatialFiltering
4.3.1SpatialNoiseFilters
4.3.2AdaptiveSpatialFilters
4.4PeriodicNoiseReductionUsingFrequencyDomainFiltering
4.5ModelingtheDegradationFunction
4.6DirectInverseFiltering
4.7WienerFiltering
4.8ConstrainedLeastSquares（Regularized）Filtering
4.9IterativeNonlinearRestorationUsingtheLucy-Richardson
Algorithm
4.10BlindDeconvolution
4.11ImageReconstructionfromProjections
4.11.1Background
4.11.2Parallel-BeamProjectionsandtheRadonTransform
4.11.3TheFourierSliceTheoremandFilteredBackprojections
4.11.4FilterImplementation
4.11.5ReconstructionUsingFan-BeamFilteredBackprojections
4.11.6Functionradon
4.11.7Functioniradon
4.11.8WorkingwithFan-BeamData
Summary
5GeometricTransformationsandImage
Registration
Preview
5.1TransformingPoints
5.2AffineTransformations
5.3ProjectiveTransformations
5.4ApplyingGeometricTransformationstoImages
5.5ImageCoordinateSystemsinMATLAB
5.5.1OutputImageLocation
5.5.2ControllingtheOutputGrid
5.6ImageInterpolation
5.6.1InterpolationinTwoDimensions
5.6.2ComparingInterpolationMethods
5.7ImageRegistration
5.7.1RegistrationProcess
5.7.2ManualFeatureSelectionandMatchingUsingcpselect
5.7.3InferringTransformationParametersUsingcp2tform
5.7.4VisualizingAlignedImages
5.7.5Area-BasedRegistration
5.7.6AutomaticFeature-BasedRegistration
Summary
6ColorImageProcessing
Preview
6.1ColorImageRepresentationinMATLAB
6.1.1RGBImages
6.1.2IndexedImages
6.1.3FunctionsforManipulatingRGBandIndexedImages
6.2ConvertingBetweenColorSpaces
6.2.1NTSCColorSpace
6.2.2TheYCbCrColorSpace
6.2.3TheHSVColorSpace
6.2.4TheCMYandCMYKColorSpaces
6.2.5TheHSIColorSpace
6.2.6Device-IndependentColorSpaces
6.3TheBasicsofColorImageProcessing
6.4ColorTransformations
6.5SpatialFilteringofColorImages
6.5.1ColorImageSmoothing
6.5.2ColorImageSharpening
6.6WorkingDirectlyinRGBVectorSpace
6.6.1ColorEdgeDetectionUsingtheGradient
6.6.2ImageSegmentationinRGBVectorSpace
Summary
7Wavelets
Preview
7.1Background
7.2TheFastWaveletTransform
7.2.1FWTsUsingtheWaveletToolbox
7.2.2FWTswithouttheWaveletToolbox
7.3WorkingwithWaveletDecompositionStructures
7.3.1EditingWaveletDecompositionCoefficientswithoutthe
WaveletToolbox
7.3.2DisplayingWaveletDecompositionCoefficients
7.4TheInverseFastWaveletTransform
7.5WaveletsinImageProcessing
Summary
8ImageCompression
Preview
8.1Background
8.2CodingRedundancy
8.2.1HuffmanCodes
8.2.2HuffmanEncoding
8.2.3HuffmanDecoding
8.3SpatialRedundancy
8.4IrrelevantInformation
8.5JPEGCompression
8.5.1JPEG
8.5.2JPEG
8.6VideoCompression
8.6.1MATLABImageSequencesandMovies
8.6.2TemporalRedundancyandMotionCompensation
Summary
9MorphologicalImageProcessing
Preview
9.1Preliminaries
9.1.1SomeBasicConceptsfromSetTheory
9.1.2BinaryImages，Sets，andLogicalOperators
9.2DilationandErosion
9.2.1Dilation
9.2.2StructuringElementDecomposition
9.2.3ThestrelFunction
9.2.4Erosion
9.3CombiningDilationandErosion
9.3.1OpeningandClosing
9.3.2TheHit-or-MissTransformation
9.3.3UsingLookupTables
9.3.4Functionbwmorph
9.4LabelingConnectedComponents
9.5MorphologicalReconstruction
9.5.1OpeningbyReconstruction
9.5.2FillingHoles
9.5.3ClearingBorderObjects
9.6Gray-ScaleMorphology
9.6.1DilationandErosion
9.6.2OpeningandClosing
9.6.3Reconstruction
Summary
10ImageSegmentation
Preview
10.1Point，Line，andEdgeDetection
10.1.1PointDetection
10.1.2LineDetection
10.1.3EdgeDetectionUsingFunctionedge
10.2LineDetectionUsingtheHoughTransform
10.2.1Background
10.2.2ToolboxHoughFunctions
10.3Thresholding
10.3.1Foundation
10.3.2BasicGlobalThresholding
10.3.3OptimumGlobalThresholdingUsingOtsu＇sMethod
10.3.4UsingImageSmoothingtoImproveGlobalThresholding
10.3.5UsingEdgestoImproveGlobalThresholding
10.3.6VariableThresholdingBasedonLocalStatistics
10.3.7ImageThresholdingUsingMovingAverages
10.4Region-BasedSegmentation
10.4.1BasicFormulation
10.4.2RegionGrowing
10.4.3RegionSplittingandMerging
10.5SegmentationUsingtheWatershedTransform
10.5.1WatershedSegmentationUsingtheDistanceTransform
10.5.2WatershedSegmentationUsingGradients
10.5.3Marker-ControlledWatershedSegmentation
Summary
11RepresentationandDescription
Preview
11.1Background
11.1.1FunctionsforExtractingRegionsandTheirBoundaries
11.1.2SomeAdditionalMATLABandToolboxFunctionsUsed
inThisChapter
11.1.3SomeBasicUtilityM-Functions
11.2Representation
11.2.1ChainCodes
11.2.2PolygonalApproximationsUsingMinimum-PerimeterPolygons
11.2.3Signatures
11.2.4BoundarySegments
11.2.5Skeletons
11.3BoundaryDescriptors
11.3.1SomeSimpleDescriptors
11.3.2ShapeNumbers
11.3.3FourierDescriptors
11.3.4StatisticalMoments
11.3.5Corners
11.4RegionalDescriptors
11.4.1Functionregionprops
11.4.2Texture
11.4.3MomentInvariants
11.5UsingPrincipalComponentsforDescription
Summary
AppendixAM-FunctionSummary
AppendixBICEandMATLABGraphicalUserInterfaces
AppendixCAdditionalCustomM-functions
Bibliography
Index
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