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The image processing handbook

Author: John C Russ; F Brent Neal
Publisher: Boca Raton ; London ; New York CRC Press [2016]
Edition/Format:   Computer file : English : Seventh editionView all editions and formats
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Material Type: Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: John C Russ; F Brent Neal
ISBN: 9781498740289 1498740286 9781498740265 149874026X
OCLC Number: 964064892
Accession No: (DE-604)BV043815241
Description: 1 Online-Ressource (xvii, 1011 Seiten)
Contents: IntroductionAbout this textA word of cautionA personal noteAcquiring ImagesHuman reliance on imagesExtracting informationVideo camerasCCD camerasCMOS detectorsCamera artifacts and limitationsColor camerasCamera resolutionElectronics and bandwidth limitationsHandling color dataColor encodingOther image sourcesPixelsTonal resolutionThe image contentsCamera limitationsNoiseHigh-depth imagesFocusingColor displaysImage typesMultiple imagesImaging requirementsPrinting and StorageHard copiesHalftoningDots on paperColor printingAdding black-CMYKPrinting hardwareFilm recordersPresentation toolsFile storageStorage mediaMagnetic recordingDatabases for imagesSearching by contentBrowsing and thumbnailsFile formatsLossless codingReduced color palettesJPEG compressionWavelet compressionFractal compressionDigital moviesHuman VisionWhat we see and whyRecognitionTechnical specsSeeing colorAcuityWhat the eye tells the brainSpatial comparisonsLocal to global hierarchiesGroupingIt's about timeThe third dimensionHow versus whatSeeing what isn't there, and vice versaImage compressionA world of lightSize mattersShape (whatever that means)ContextArrangements must be madeSeeing is believingLearning moreCorrecting Imaging DefectsColor adjustmentsHue, saturation, intensityOther spacesColor correctionNoisy imagesNeighborhood averagingGaussian smoothingNeighborhood rankingThe color medianMore median filtersWeighted, conditional, and adaptive neighborhoodsOther neighborhood noise reduction methodsDefect removal, maximum entropy, and maximum likelihoodNonuniform illuminationFitting a background functionRank levelingColor imagesNonplanar viewsComputer graphicsGeometric distortionAlignmentInterpolationMorphingImage Enhancement in the Spatial DomainPurposes for enhancementContrast expansionFalse color lookup tables (LUTs) Contrast manipulationHistogram equalizationContrast in color imagesLocal equalizationLaplacian sharpeningThe unsharp maskDerivativesEdges and gradientsEdge orientationMore edge detectorsRank-based methodsTextureImplementation notesImage mathSubtracting imagesMultiplication and divisionPrincipal component analysisPrincipal component analysis for contrast enhancementOther image combinationsCross-correlationProcessing Images in Frequency SpaceAbout frequency spaceThe Fourier transformFourier transforms of simple functionsMoving to two dimensionsFrequencies and spacingsPreferred orientationTexture and fractalsRemoving selected frequenciesPeriodic noise removalSelection of periodic informationConvolutionDeconvolutionNoise and Wiener deconvolutionOther deconvolution methodsAdditional notes on deconvolutionTemplate matching and correlationAutocorrelationWaveletsSegmentation and ThresholdingBrightness thresholdingAutomatic settingsMultiband imagesColor thresholdingThresholding from textureMultiple thresholding criteriaTextural orientationRegion boundariesNoise and overlapsSelecting smooth boundariesConditional histogramsBoundary linesContoursCluster analysisMore segmentation methodsImage representationProcessing Binary ImagesBoolean operationsCombining Boolean operationsMasksFrom pixels to featuresFilling holesMeasurement gridsBoolean logic with featuresSelecting features by locationDouble thresholdingErosion and dilationOpening and closingIsotropyMeasurements using erosion and dilationExtension to grayscale imagesNeighborhood parametersExamples of useEuclidean distance mapWatershed segmentationUltimate eroded pointsSkeletonsTopologyBoundary linesCombining skeleton and Euclidean distance mapImage MeasurementsPhotogrammetryComparisonsGlobal measurementsVolumeSurface areaGrain sizeMultiple surfacesLengthThicknessSampling strategiesDetermining numberCurvature, connectivity, and the DisectorAnisotropy and gradientsSize distributionClassical stereology (unfolding)Feature MeasurementsBrightness measurementsDensityBrightness profilesColor valuesDetermining locationOrientationNeighbor relationshipsSeparation distanceAlignmentThe linear Hough transformThe circular Hough transformCountingSpecial counting proceduresFeature sizeCircles and ellipsesCaliper dimensionsPerimeterCharacterizing ShapeDescribing shapeDimensionless ratiosEffects of orientation"Like a circle"An example: LeavesTopology and the skeletonBoundariesShock graphsFractal dimensionMeasurement techniquesHarmonic analysisChain codeAn example: Arrow pointsWaveletsMomentsAn example: DandelionZernike momentsLandmarksCorrelation, Classification, Identification, and MatchingA variety of purposesMatchingCross-correlationCurvature scale spaceClassificationDistributions and decision pointsLinear discriminant analysis (LDA) and principal component analysis (PCA) Class definitionUnsupervised learningAre groups different? Neural netsk-Nearest neighborsParametric descriptionBayesian statisticsA comparisonHarmonic analysis and invariant momentsSpecies examplesCorrelationLandmark data3D ImagingMore than two dimensionsVolume imaging versus sectionsSerial sectionsRemoving layersReconstructionConfocal microscopyStereo viewingTomographyTomographic reconstructionReconstruction artifactsAlgebraic reconstructionMaximum entropyImaging geometriesOther signalsBeam hardening and other issues3D tomographyDual energy methodsMicrotomography3D reconstruction and visualizationSlices and surfacesMarching cubesVolumetric displaysRay tracing3D Processing and MeasurementProcessing voxel arraysWhen the z-axis is differentMultiple image setsThresholding and segmentationMorphological operations and structural measurementsSkeletonsSurface and volumeQuantitative use of reconstructionsMethods for object measurementsSizeExamples of object measurementsOther object measurementsLimitationsIndustrial applicationsComparison to stereological measurementsSpherical harmonics, wavelets, and fractal dimensionOther applications and future possibilitiesImaging SurfacesProducing surfacesImaging by physical contactNoncontacting measurementsShape from shading and polynomial texture mapMicroscopy of surfacesStereoscopyMatching pointsComposition imagingProcessing of range imagesProcessing of composition mapsData presentation and visualizationSurface renderingMeasurementsProfilesRepresenting elevation dataThe surface measurement suiteHybrid propertiesTopographic analysisFractal dimensionsReferences
Responsibility: John C. Russ, F. Brent Neal.

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"With a new co-author (the same Brent Neal who has collaborated with him before in writing the excellent book Measuring Shape), John Russ has again produced a winner-a textbook and reference book Read more...

 
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