digital image processing in 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 ... the structuring element, the final thinning is produced. Figure 33 Illustration of thinning for line detection. (a) A binary original image; (b) After 10 iterations of thinning; (c) After ... Image Processing – Part II 61 Morphological Image Processing Problems (7) Write down the equations of combined Boolean operations to produce the following binary images by using the images...
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digital image processing using matlab
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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 ... Imaging Modalities Are 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 ... Imaging 231.3.3 Imaging in the Ultraviolet Band 251.3.4 Imaging in the Visible and Infrared Bands 261.3.5 Imaging in the Microwave Band 321.3.6 Imaging in the Radio Band 341.3.7 Examples in...
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Digital Image Processing CHAPTER 01-02-03
... processing in a digital domain. Color is used also in later chapters as thebasis for extracting features of interest in an image. Wavelets are the foundation for representing images in various ... single-headed arrows linking the processing modules.Although we do not discuss image display explicitly at this point, it is impor-tant to keep in mind that viewing the results of image processing can take ... specif-ically for image processing. Although large-scale image processing systems still are being sold for mas-sive imaging applications, such as processing of satellite images, the trend con-tinues toward...
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Tài liệu Digital Signal Processing Handbook P70 pdf
... Adaptive clutter rejection in the joint angle-dopplerdomain can be incorporated into existing radar systems by digitizing the difference channel, ormaking relatively minor antenna modifications ... Doppler-domain (joint domain) localized processing (DDL/JDL) [12, 15, 16] and the PRI-staggered Doppler-decomposed processing (PRI-SDD) [17],which are well behaved and easy to implement. The DDL/JDL principle ... 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...
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Tài liệu Digital Signal Processing Handbook P68 pdf
... filtering.Because of significant delay spread in the channel, array processing in mobile communications canbe greatly leveraged by processing the signals in space and in time (STP) to minimize ... co-channelinterference and inter symbol interference while maximizing SNR. See [35] for a review of channelequalization.We begin with the single-user case where we are only interested in demodulating ... reduced interference, and trunking efficiency.68.4.2 Space-Time FilteringSpace-time filtering (STF) applies space-time processing to maximize signal power and minimizeintersymbol and co-channel interference....
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Tài liệu Digital Signal Processing Handbook P66 pdf
... dominates numerical errors, this choice may not becritical in most signal processing applications.66.2.2 Short Memory Windows for Time Varying EstimationUltimately, weareinterestedin trackingsome ... exponentially faded window has some advantages over the moving rectangular window. Themain advantage of a (short) rectangular window is in tracking sudden changes. Assuming stationar-ity within the effective ... to many updating methods is a fading factor. For coldstart initialization (e.g., starting from nothing) at k = 0, initial convergence can often be sped up byramping up the fading factor, e.g.,αk=...
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Tài liệu Digital Signal Processing Handbook P23 pdf
... errorE{e2o(n)}. In most adaptive filtering applications, the desired signal, d(n), is available only during a“training phase” in which the filter parameters are adapted. At the conclusion of the training ... algorithms used in adaptive FIR filtering. For equation error meth-ods, we also examine the instrumental variables (IV) algorithm, as well as algorithms that constrainthe parameters in the denominator ... needed to destabilize the resulting model.Nonetheless, under certain operating conditions, thiskind of instability can be shown not to occur,as described in the following.Property 2: [18] Consider...
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Tài liệu Digital Signal Processing Handbook P20 pdf
... tech-nological advancements in digital circuit and VLSI design have spurred an increase in the range ofnew adaptive filtering applications in fields ranging from biomedical engineering to wireless com-munications. ... structure in Fig. 20.5 that has alossless mapping T in its feedforward path and an arbitrary mapping F in its feedback path. Theinput/output signals of interest are denoted by{x, y, r, v,e}. In this ... adaptivescheme. In the remaining sections of this chapter, we discuss the combined issues of robustness andconvergence from a deterministic standpoint. In particular, the following issues are...
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Tài liệu Digital Signal Processing Handbook P19 pdf
... can draw the followingtwo conclusions regarding this quantity:ã The misadjustment increases as the step size is increased.ã The misadjustment increases as the lter length is increased.Both results ... requires more information than is typically available in practice. Modeling criteria, such asAkaike’s Information Criterion [18] and minimum description length (MDL) [19] could be used in this situation.Choice ... this problem for i.i.d.input signals, see [20].19.5.3 Tracking Time-Varying SystemsSince the LMS adaptive filter continually adjusts its coefficientsto approximately minimize the mean-squared...
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Tài liệu Digital Signal Processing Handbook P14 pdf
... Hayes, M.S.,Statistical Digital Signal Processing and Modeling,John Wiley & Sons, New York,1996.[9] Haykin, S.,Advances in Spectrum Analysis and Array Processing, Prentice Hall, EnglewoodCliffs, ... theoretical findings and a wide range ofresults obtained from examinations of various physical processes. In addition, new concepts arebeing introduced that provide tools for improved processing of ... exactly determinedwithout any uncertainty. Besides their description in the time domain, the deterministic signals havea very useful representation in terms of superposition of sinusoids with...
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