Tài liệu 74 Morphological Signal and Image Processing docx

... Press LLCMorphologicalSignalandImage Processing PetrosMaragosGeorgiaInstituteofTechnology 74. 1Introduction 74. 2MorphologicalOperatorsforSetsandSignalsBooleanOperatorsandThresholdLogic•MorphologicalSetOperators•MorphologicalSignalOperatorsandNonlinearConvolutions 74. 3Median,Rank,andStackOperators 74. 4UniversalityofMorphologicalOperators 74. 5MorphologicalOperatorsandLatticeTheory 74. 6SlopeTransforms 74. 7MultiscaleMorphologicalImageAnalysisBinaryMultiscaleMorphologyviaDistanceTransforms•Mul-tiresolutionMorphology 74. 8DifferentialEquationsforContinuous-ScaleMorphology 74. 9ApplicationstoImageProcessingandVisionNoiseSuppression•FeatureExtraction•ShapeRepresentationviaSkeletonTransforms•ShapeThinning•SizeDistributions•Fractals•ImageSegmentation 74. 10ConclusionsAcknowledgmentReferences 74. 1 ... LLCMorphologicalSignalandImage Processing PetrosMaragosGeorgiaInstituteofTechnology 74. 1Introduction 74. 2MorphologicalOperatorsforSetsandSignalsBooleanOperatorsandThresholdLogic•MorphologicalSetOperators•MorphologicalSignalOperatorsandNonlinearConvolutions 74. 3Median,Rank,andStackOperators 74. 4UniversalityofMorphologicalOperators 74. 5MorphologicalOperatorsandLatticeTheory 74. 6SlopeTransforms 74. 7MultiscaleMorphologicalImageAnalysisBinaryMultiscaleMorphologyviaDistanceTransforms•Mul-tiresolutionMorphology 74. 8DifferentialEquationsforContinuous-ScaleMorphology 74. 9ApplicationstoImageProcessingandVisionNoiseSuppression•FeatureExtraction•ShapeRepresentationviaSkeletonTransforms•ShapeThinning•SizeDistributions•Fractals•ImageSegmentation 74. 10ConclusionsAcknowledgmentReferences 74. 1 ... LLCMorphologicalSignalandImage Processing PetrosMaragosGeorgiaInstituteofTechnology 74. 1Introduction 74. 2MorphologicalOperatorsforSetsandSignalsBooleanOperatorsandThresholdLogic•MorphologicalSetOperators•MorphologicalSignalOperatorsandNonlinearConvolutions 74. 3Median,Rank,andStackOperators 74. 4UniversalityofMorphologicalOperators 74. 5MorphologicalOperatorsandLatticeTheory 74. 6SlopeTransforms 74. 7MultiscaleMorphologicalImageAnalysisBinaryMultiscaleMorphologyviaDistanceTransforms•Mul-tiresolutionMorphology 74. 8DifferentialEquationsforContinuous-ScaleMorphology 74. 9ApplicationstoImageProcessingandVisionNoiseSuppression•FeatureExtraction•ShapeRepresentationviaSkeletonTransforms•ShapeThinning•SizeDistributions•Fractals•ImageSegmentation 74. 10ConclusionsAcknowledgmentReferences 74. 1 IntroductionThischapterprovidesabriefintroductiontothetheoryofmorphologicalsignalprocessinganditsapplicationstoimageanalysisandnonlinearfiltering.By“morphologicalsignalprocessing”wemeanabroadandcoherentcollectionoftheoreticalconcepts,mathematicaltoolsforsignalanalysis,non-linearsignaloperators,designmethodologies,andapplicationssystemsthatarebasedonorrelatedtomathematicalmorphology(MM),aset-andlattice-theoreticmethodologyforimageanalysis.MMaimsatquantitativelydescribingthegeometricalstructureofimageobjects.Itsmathematicaloriginsstemfromsettheory,latticealgebra,convexanalysis,andintegralandstochasticgeometry.ItwasinitiatedmainlybyMatheron[42]andSerra[58]inthe1960s.SomeofitsearlysignaloperationsarealsofoundintheworkofotherresearcherswhousedcellularautomataandBoolean/thresholdlogictoanalyzebinaryimagedatainthe1950sand1960s,assurveyedin[49,54].MMhasformalizedtheseearlieroperationsandhasalsoaddednumerousnewconceptsandimageoperations.Inthe1970sitwasextendedtogray-levelimages[22,45,58,62].OriginallyMMwasappliedtoanalyzingc1999byCRCPressLLCdefined)...

... Applications of Blind and Semi-Blind Signal Processing 231.2.1 Biomedical Signal Processing 241.2.2 Blind Separation of Electrocardiographic Signals ofFetus and Mother 251.2.3 Enhancement and Decomposition ... 2987.10 (a) Eight ECG signals are separated into: Four maternalsignals, two fetal signals and two noise signals. (b) Detailedplots of extracted fetal ECG signals. The mixed signalswere obtained ... sensor signals and (c) reconstructed source signals. 2977.9 Blind separation of speech signals using the algorithm (7.80):(a) Primary source signals, (b) sensor signals, (c) recoveredsource signals....

... COMPUTER ARCHITECTURE AND PARALLEL PROCESSING TEAM LinG - Live, Informative, Non-cost and Genuine !&CHAPTER 1Introduction to AdvancedComputer Architecture and Parallel Processing Computer ... Architecture and Parallel Processing, by H. El-Rewini and M. Abd-El-BarrISBN 0-471-4 6740 -5 Copyright # 2005 John Wiley & Sons, Inc.TEAM LinG - Live, Informative, Non-cost and Genuine !B(010) ... used to categorize suchsystems: the processing units themselves, and the interconnection network that tiesthem together. The processing units can communicate and interact with each otherusing...

... to createImage(). Image image = getImage (new URL ("http://www.ora.com/images/logo.jpg")); Image newOne = createImage (new FilteredImageSource (image. getSource(),new SomeImageFilter()));10 ... FilteredImageSource class combines an ImageProducer and an ImageFilterto create a new Image. The image producer generates pixel data for an original image. The FilteredImageSource takes this data and ... instance of our PPMImageDecoder; calls readImage() to load the image and generate pixel data; and finally, calls createImage() with our ImageProduceras an argument to create an Image object, which...

... designers and software developers must understand theinteraction between hardware and software parts of the system. This is the reasonwe wrote this book. We want the reader to understand the power and ... Perspective / ZahirTari and Omran BukhresPipelined Processor Farms: Structured Design for Embedded ParallelSystems / Martin Fleury and Andrew DowntonHandbook of Wireless Networks and Mobile Computing ... evaluation; and (d) run time system.6. Provide a list of the main advantages and disadvantages of SIMD and MIMDmachines.7. Provide a list of the main advantage s and disadvantages of shared-mem oryand...

... discussed further in an example in Chapter 10.1.6. Fusion in signal and image processing and fusion in other fieldsFusion in signal and image processing has specific features that need to be takeninto ... 201.6. Fusion in signal and image processing and fusion in other fields . . . . 221.7.Bibliography 23Chapter 2. Fusion in Signal Processing 25Jean-Pierre LE CADRE, Vincent NIMIER and Roger REYNAUD2.1. ... Designs and Patents Act 1988. Library of Congress Cataloging-in-Publication Data [Fusion d'informations en traitement du signal et des images English] Information fusion in signal and image...

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... Fundamental Signal and Image Processing Concepts 1 1 Architecture of the Basic Physiologic Recorder 3Jason Ng and Jeffrey J. Goldberger 2 Analog and Digital Signals 9Jason Ng and Jeffrey ... the signal or image, as judging signal quality is often more important than how “clean” a signal or image looks.More advanced signal processing is also essential in cardiovascular imaging and ... Stethoscopes 379Indranil Sen-Gupta and Jason NgIndex 391xii Contents viiPreface Signal processing is the means and methodology of handling, manipulating, and convert-ing signals for the purposes of...

... in Figure 1.28. Figures 1.28(a) and (b) show the two images x(nl, n,) and y(n,, n,) and Figures 1.28(c) and (d) show the two images f(nl, n,) and g(nl, n,). The high intelligibility ... applied to an image tends to accentuate image details or local contrast, and the processed image appears sharper. Figure 1.22(a) shows an original image of 256 x 256 pixels and Figure 1.22(b) ... o, = o, = 0, and therefore the average intensity of an image is not affected by the filter. A bright image will remain bright and a dark image will remain dark after processing with the...

... Design for Signal and Image Processing Signal fs Ts Speech: Telephone band – telephone- Broadband – audio-visual conferencing- 8 KHz or 16 KHz 125 µs 62.5 µs Audio: Broadband (Stereo) ... audio, image and video processing. Nowadays, digital signal is used in MP3 and DVD players, digital cameras, mobile phones, and also in radar processing, biomedical applications, seismic data processing, ... process 1.2.3. Periodic signals The class of signals termed periodic plays an important role in signal and image processing. In the case of a continuous-time signal, a signal is called periodic...