Digital image processing and analysis : human and computer vision applications with CVIPtools / author, Scott E Umbaugh.

"A CRC title."

Rev. ed. of: Computer vision and image processing / Scott E. Umbaugh. 1998.

Includes bibliographical references and index.

Section I Introduction to Digital Image Processing and AnalysisDigital Image Processing and AnalysisOverviewImage Analysis and Computer VisionImage Processing and Human VisionKey PointsExercisesReferencesFurther ReadingComputer Imaging SystemsImaging Systems OverviewImage Formation and SensingCVIPtools SoftwareImage RepresentationKey PointsExercisesSupplementary ExercisesReferencesFurther ReadingSection II Digital Image Analysis and Computer VisionIntroduction to Digital Image AnalysisIntroductionPreprocessingBinary Image AnalysisKey PointsExercisesSupplementary ExercisesReferencesFurther ReadingSegmentation and Edge/Line DetectionIntroduction and OverviewEdge/Line DetectionSegmentationKey PointsExercisesSupplementary ExercisesReferencesFurther ReadingDiscrete TransformsIntroduction and OverviewFourier TransformDiscrete Cosine TransformDiscrete Walsh-Hadamard TransformDiscrete Haar TransformPrincipal Components TransformFilteringDiscrete Wavelet TransformKey PointsExercisesSupplementary ExercisesReferencesFurther ReadingFeature Analysis and Pattern ClassificationIntroduction and OverviewFeature ExtractionFeature AnalysisPattern ClassificationKey PointsExercisesSupplementary ExercisesReferencesFurther ReadingSection III Digital Image Processing and Human VisionDigital Image Processing and Visual PerceptionIntroduction and OverviewHuman Visual PerceptionImage Fidelity CriteriaKey PointsExercisesSupplementary ExercisesReferencesFurther ReadingImage EnhancementIntroduction and OverviewGray-Scale ModificationImage Sharpening Image SmoothingKey PointsExercisesSupplementary ExercisesReferencesFurther ReadingImage Restoration and ReconstructionIntroduction and OverviewNoise ModelsNoise Removal Using Spatial FiltersDegradation FunctionFrequency Domain FiltersGeometric TransformsImage ReconstructionKey PointsExercisesSupplementary ExercisesReferencesFurther ReadingImage CompressionIntroduction and OverviewLossless

Compression MethodsLossy Compression MethodsKey PointsExercisesSupplementary ExercisesReferencesFurther ReadingSection IV Programming and Application Development with CVIPtoolsCVIPlabIntroduction to CVIPlabToolkits, Toolboxes, and Application LibrariesCompiling and Linking CVIPlabImage Data and File StructuresCVIP ProjectsApplication DevelopmentIntroduction and OverviewCVIP Algorithm Test and Analysis ToolCVIP Feature Extraction and Pattern Classification ToolSkin Lesion Classification Using Relative Color FeaturesAutomatic Segmentation of Blood Vessels in Retinal ImagesClassification of Land Types from Satellite Images Using Quadratic Discriminant Analysis and Multilayer PerceptronsWatershed-Based Approach to Skin Lesion Border SegmentationFaint Line Defect Detection in Microdisplay (CCD) ElementsMelanoma and Seborrheic Keratosis Differentiation Using Texture FeaturesCompression of Color Skin Tumor Images with Vector Quantization ReferencesCVIPtools C (R) Function LibrariesIntroduction and OverviewArithmetic and Logic Library: ArithLogic.libBand Image Library: Band.lib Color Image Library: Color.libCompression Library: Compression.libConversion Library: Conversion.libDisplay Library: Display.libFeature Extraction Library: Feature.libGeometry Library: Geometry.libHistogram Library: Histogram.libImage Library: Image.libData Mapping Library: Mapping.libMorphological Library: Morphological.libNoise Library: Noise.libSegmentation Library: Segmentation.libSpatial Filter Library: SpatialFilter.lib Transform Library: Transform.libTransform Filter Library: TransformFilter.libSection V AppendicesCVIPtools CDInstalling and Updating CVIPtools CVIPtools Software OrganizationCVIPtools C (R) FunctionsCommon Object Module (COM) Functions: cviptools.dllCVIP ResourcesIndex