digital image processing with matlab pdf
Digital Image Processing Part II pdf
... Digital Image Processing – Part II 54 Morphological Image Processing (a)(c)(d)(b) Digital Image Processing – Part II 87 Image Segmentation (a) (b)(c)(a)(b) Digital Image ... Digital Image Processing – Part II 13 Colour Image Processing (b) Figure 5 Illustration of intensity slicing and colour assignment. Digital Image Processing – Part II 10 Colour Image ... connected to the image border. (a)(c)(d)(b) Digital Image Processing – Part II 89 Image Segmentation 3.9 Object-oriented image segmentation The challenge of understanding images is...
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digital image processing using matlab
... corrections and image registration also are covered.Chapter 6: Color Image Processing. This chapter deals with pseudocolor andfull-color image processing. Color models applicable to digital image process-ing ... Image Processing Toolbox,also are available.Areas of Image Processing Covered in the BookEvery chapter in this book contains the pertinent MATLAB and IPT materialneeded to implement the image ... sense.” Digital image processing, as we have defined it, is used successfully in a broad range ofareas of exceptional social and economic value.Background on MATLAB and the Image Processing...
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digital image processing using matlab
... used interchangeably when deal-ing with monochrome (i.e., gray-scale) images. When dealing with color images, the term intensity is used to denote a color image component in certain color spaces, ... 250050001000015000ca bdFIGURE 3.7 Various ways to plot an image histogram. (a) imhist, (b) bar, (c) stem, (d) plot. Digital Image Processing Using MATLAB đSecond EditionRafael C. GonzalezUniversity ... probability density function (PDF) of the intensity levels in a given image, where the subscript is used for differentiating between the PDFs of the input and output images. Suppose that we perform...
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Mathematical Summary for Digital Signal Processing Applications with Matlab pdf
... Mathematical Summary for Digital Signal Processing Applications with Matlab Dedicated to my son G.V. Vasig and my wifeG. Viji Contents1 Matrices ... matrix with number of Rows is equal to the number of Columns.(i) Identity matrixThe square matrix with all the elements is filled up with zeros except the diag-onal elements which are filled up with ... 1.12.A D24123 4557 126 7 10 1635 E.S. GopiMathematical Summaryfor Digital Signal Processing Applications with Matlab 123 1.15 Solutions for the System of Linear Equation [A] x Db 352445635T0@b2414253635Äcx1bx21AD...
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Digital Image Processing [GONZALEZ R C WOOD] COVERS
... xix1Introduction 151.1 What Is Digital Image Processing? 151.2 The Origins of Digital Image Processing 171.3 Examples of Fields that Use Digital Image Processing 211.3.1 Gamma-Ray Imaging ... Used 341.4 Fundamental Steps in Digital Image Processing 391.5 Components of an Image Processing System 42Summary 44References and Further Reading 452 Digital Image Fundamentals 342.1 Elements ... Representing Digital Images 542.4.3 Spatial and Gray-Level Resolution 572.4.4 Aliasing and Moiré Patterns 622.4.5 Zooming and Shrinking Digital Images 64viiGONZFM-i-xxii. 5-10-2001 14:22 Page vii Digital...
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Digital Image Processing CHAPTER 01-02-03
... image processing is intimately tied to the development of the digital computer. In fact, digital images require so much storage and computational power that progressin the field of digital image ... on images generated by sources thathumans are not accustomed to associating with images. These include ultra-sound, electron microscopy, and computer-generated images.Thus, digital image processing ... overlap be-tween image processing and image analysis is the area of recognition of indi-vidual regions or objects in an image. Thus, what we call in this book digital image processing encompasses...
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Tài liệu Digital Signal Processing Handbook P70 pdf
... Space-TimeAdaptiveProcessingforAirborneSurveillanceRadarHongWangSyracuseUniversity70.1MainReceiveApertureandAnalogBeamforming70.2DatatobeProcessed70.3TheProcessingNeedsandMajorIssues70.4TemporalDOFReduction70.5AdaptiveFilteringwithNeededandSample-SupportableDOFandEmbeddedCFARProcessing70.6Scan-To-ScanTrack-Before-DetectProcessing70.7Real-TimeNonhomogeneityDetectionandSampleConditioningandSelection70.8SpaceorSpace-RangeAdaptivePre-SuppressionofJammers70.9ASTAPExamplewithaRevisittoAnalogBeamforming70.10SummaryReferencesSpace-TimeAdaptiveProcessing(STAP)isamulti-dimensionalfilteringtechniquedevelopedforminimizingtheeffectsofvariouskindsofinterferenceontargetdetectionwithapulsedairbornesurveillanceradar.Themostcommondimensions,orfilteringdomains,generallyincludetheaz-imuthangle,elevationangle,polarizationangle,dopplerfrequency,etc.inwhichtherelativelyweaktargetsignaltobedetectedandtheinterferencehavecertaindifferences.Inthefollowing,theSTAPprinciplewillbeillustratedforfilteringinthejointazimuthangle(space)anddopplerfrequency(time)domainonly.STAPhasbeenaveryactiveresearchanddevelopmentareasincethepublicationofReedetal.’sseminalpaper[1].WiththerecentlycompletedMultichannelAirborneRadarMeasurementproject(MCARM)[2]–[5],STAPhasbeenestablishedasavaluablealternativetothetraditionalapproaches,suchasultra-lowsidelobebeamformingandDisplacedPhaseCenterAntenna(DPCA)[6].MuchofSTAPresearchanddevelopmenteffortshavebeendrivenbytheneedstomakethesystemaffordable,tosimplifyitsfront-hardwarecalibration,andtominimizethesystem’sperformancelossinseverelynonhomogeneousenvironments.Figure70.1isageneralconfigurationofSTAPfunctionalblocks[5,7]whoseprincipleswillbediscussedinthefollowingsections.c1999byCRCPressLLC ... Unfortunately, sucha wish can rarely materialize for a system with a practical aperture size operated in nonhomogeneousenvironments. With a spatial DOF reductionrequired bythese approachesto bring ... Signaland Data Processing of Small Targets, SPIE Proc. Series, Vol. 1305, Paper 16, 180–192, Orlando,FL, April 16-18, 1990.[27] Wang, H. and Cai, L., On adaptive multiband signal detection with SMI...
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Tài liệu Digital Signal Processing Handbook P68 pdf
... separable with respect to the unknowns, one approach to minimize the cost function in Eq. (68.31) is alternatingprojections. Starting with an initial estimate of A, we minimize Eq. (68.31) with respect ... described earlier in this chapter.68.4.3 Channel Reuse Within CellReuse within cell (RWC) refers to the reuse of a channel or radio resource within a cell by exploitingdifferences in the channels. ... ArrayProcessingforMobileCommunicationsA.PaulrajStanfordUniversityC.B.PapadiasStanfordUniversity68.1IntroductionandMotivation68.2VectorChannelModelPropagationLossandFadingãMultipathEffectsãTypicalChannelsãSignalModelãCo-ChannelInterferenceãSignal-Plus-InterferenceModelãBlockSignalModelãSpatialandTemporalStructure68.3AlgorithmsforSTPSingle-UserST-MLandST-MMSEãMulti-UserAlgorithmsãSimulationExample68.4ApplicationsofSpatialProcessingSwitchedBeamSystemsãSpace-TimeFilteringãChannelReuseWithinCell68.5Summary68.6References68.1 IntroductionandMotivationThischapterreviewstheapplicationsofantennaarraysignalprocessingtomobilenetworks.Cellularnetworksarerapidlygrowingaroundtheworldandanumberofemergingtechnologiesareseentobecriticaltotheirimprovedeconomicsandperformance.Amongtheseistheuseofmultipleantennasandspatialsignalprocessingatthebasestation.ThistechnologyisreferredtoasSmartAntennasor,moreaccurately,asSpace-TimeProcessing(STP).STPreferstoprocessingtheantennaoutputsinbothspaceandtimetomaximizesignalquality.Acellulararchitectureisusedinanumberofmobile/portablecommunicationsapplications.Cellsizesmayrangefromlargemacrocells,whichservehighspeedmobiles,tosmallermicrocellsorverysmallpicocells,whicharedesignedforoutdoorandindoorapplications.Eachoftheseoffersdifferentchannelcharacteristicsand,therefore,posesdifferentchallengesforSTP.Likewise,differentservicedeliverygoalssuchasgradeofserviceandtypeofservice:voice,data,orvideo,alsoneedspecicSTPsolutions.STPprovidesthreeprocessingleverages.Therstisarraygain.Multipleantennascapturemoresignalenergy,whichcanbecombinedtoimprovethesignal-to-noiseratio(SNR).Nextisspatialdiversitytocombatspace-selectivefading.Finally,STPcanreduceco-channel,adjacentchannel,andinter-symbolinterference.Theorganizationofthischapterisasfollows.InSection68.2,wedescribethevectorchannelmodelforabasestationantennaarray.InSection68.3wediscussthealgorithmsforSTP.Section68.4outlinestheapplicationsofSTPincellularnetworks.Finally,weconcludewithasummaryinSection68.5.c1999byCRCPressLLC...
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Tài liệu Digital Signal Processing Handbook P66 pdf
... revealing structure involveO(n3) flops per update. An analysis of problems associated with RRQR methods along with a fairlyextensive reference list on RRQR methods can be found in [6]. An O(nr) ... ranges from O(nr2) to O(nr).A family of Subspace methods Without EigenDEcomposition (SWEDE) has been proposed byEriksson et al. [16]. With SWEDE, portions of the correlation matrix must be updated ... n ì N data matrix where the kth column corresponds to the kthsnapshot vector, xk∈ Cn. With block processing, the correlation matrix for a zero mean, stationary,ergodic vector process is...
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Tài liệu Digital Signal Processing Handbook P23 pdf
... à(n). As with RLS methods, P(0) = γI with γ a large, positive number. The vectorUiv(n) is typically chosen asUiv(n) =[x(n) ···x(n − M) − z(n − 1) ···−z(n − N)]T(23.27) with eitherz(n) ... chosen. With the normalized stepsize, we require 0 < à<2 and >0 for stability, with typical choices of à = 0.1 and = 0.001.In 23.20, we require that λ satisfy 0 <λ≤ 1, with λ typically ... follows.Property 4: [18] Consider the adaptive filter in Fig. 23.1 with A(q−1,n)givenby(23.32), with v(n)an uncorrelated signal and with Hu(q−1) = 0 (the sufficient order case). Then the parameter...
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