Digital Image Processing Part II pdf

... Jiahua Wu & Jianguo Zhang Digital Image Processing Part II Digital Image Processing – Part II 30 Morphological Image Processing 2. Morphological Image Processing 2.1 Mathematical ... (a) Digital Image Processing – Part II 13 Colour Image Processing (b) Figure 5 Illustration of intensity slicing and colour assignment. Digital Image Processing – Part II 14 ... for image segmentation of the following image: Digital Image Processing – Part II 29 Colour Image Processing (5) Is this a true statement? Image compression is a process of reducing image...

... 560Problems 560xii■ContentsGONZFM-i-xxii. 5-10-2001 14:22 Page xiiContentsPreface xvAcknowledgements xviiiAbout the Authors xix1Introduction 151.1 What Is Digital Image Processing? 151.2 ... 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 vii10Image...

... histogram of the input image. GONZ03-075-146 .II 29-08-2001 13:42 Page 8990Chapter 3■ Image Enhancement in the Spatial DomainDark image Bright image Low-contrast image High-contrast image FIGURE 3.15Four ... Further Reading 142Problems 1424 Image Enhancement in the Frequency Domain 1474.1 Background 148viii■ContentsGONZFM-i-xxii. 5-10-2001 14:22 Page viii3.2■Some Basic Gray Level Transformations83FIGURE ... pop-ular tool for real-time image processing. As an introduction to the role of histogram processing in image enhance-ment, consider Fig. 3.15, which is the pollen image of Fig. 3.10 shown in...

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... Worseis not very large with respect to Ns(Npt+ 1), or when some of the secondary data depart from theiid Gaussian assumption that will affect both filtering and CFAR portions. The GLR and ModifiedSMI ... On adaptive spatial-temporal processing for airborne surveillance radarsystems,IEEE Trans. on Aerospace and Electronic Systems,AES-30(3), 660–670, July 1994. Part of this paper is also inProc.25th ... Williams, D.B. and Holder, E.J, Cross-spectralsubspaceselection for rank reduc-tion in partially adaptive sensor array processing, Proc. IEEE 1994 National Radar Conference,Atlanta, Georgia, May 29-31,...

... IntroductionandMotivationThischapterreviewstheapplicationsofantennaarraysignalprocessingtomobilenetworks.Cellularnetworksarerapidlygrowingaroundtheworldandanumberofemergingtechnologiesareseentobecriticaltotheirimprovedeconomicsandperformance.Amongtheseistheuseofmultipleantennasandspatialsignalprocessingatthebasestation.ThistechnologyisreferredtoasSmartAntennasor,moreaccurately,asSpace-TimeProcessing(STP).STPreferstoprocessingtheantennaoutputsinbothspaceandtimetomaximizesignalquality.Acellulararchitectureisusedinanumberofmobile/portablecommunicationsapplications.Cellsizesmayrangefromlargemacrocells,whichservehighspeedmobiles,tosmallermicrocellsorverysmallpicocells,whicharedesignedforoutdoorandindoorapplications.Eachoftheseoffersdifferentchannelcharacteristicsand,therefore,posesdifferentchallengesforSTP.Likewise,differentservicedeliverygoalssuchasgradeofserviceandtypeofservice:voice,data,orvideo,alsoneedspecificSTPsolutions.STPprovidesthreeprocessingleverages.Thefirstisarraygain.Multipleantennascapturemoresignalenergy,whichcanbecombinedtoimprovethesignal-to-noiseratio(SNR).Nextisspatialdiversitytocombatspace-selectivefading.Finally,STPcanreduceco-channel,adjacentchannel,andinter-symbolinterference.Theorganizationofthischapterisasfollows.InSection68.2,wedescribethevectorchannelmodelforabasestationantennaarray.InSection68.3wediscussthealgorithmsforSTP.Section68.4outlinestheapplicationsofSTPincellularnetworks.Finally,weconcludewithasummaryinSection68.5.c1999byCRCPressLLC[16] ... bilinear approach, inProc. VII European Signal Processing Conference,Edinburgh, Scotland, Sept. 13-16, 1994.[33] Porat, B. and Friedlander, B., Blind equalization of digital communication channels ... Paulraj, A., Blind separation of synchronous co-channel digital signals using an antenna array. Part I. Algorithms,IEEE Trans. on Signal Processing, 44(5),1184–1197, May 1996.[44] Tong, L.,...

... Sphericalized SVD updating forsubspace tracking, in Moonen, M. and De Moor, B., Eds.,SVD and Signal Processing III:Algorithms, Applications and Architectures,Elsevier, 1995, 227–234.[12] Dowling, E.M., ... [35]. For a study of URV and RRQR methods, see [6]. Partial orthogonalizationschemes are studied in [28]. Finally, a special issue of Signal Processing [41] is planned for April 1996featuring ... factor, the partiallyconverged, deflated TQR-SVD update is very similar to a deflated URV update [34].DeGroat and Roberts [10] simplified Bunch’s rank one eigen update [4] and proposed a partialorthogonalization...

... adaptive IIR filters,IEEE Trans. Acoustics, Speech, Signal Processing, 38(7), 1222–1227,1990.[17] Regalia, P.A., Stable and efficient latticealgorithms for adaptive IIR filtering,IEEE Trans.Signal Processing, 40(2), ... algorithm for IIR adaptive systems,IEEETrans. Signal Processing, 41(2), 617–628, 1993.[14] Lin, J N. and Unbehauen, R., Bias-remedy least mean square equation error algorithm for IIRparameter ... Williamson, G.A. “Adaptive IIR Filters” Digital Signal Processing HandbookEd. Vijay K. Madisetti and Douglas B. WilliamsBoca Raton: CRC...