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1、MicroprocessorsandMicrosystems36(2012)215–231ContentslistsavailableatSciVerseScienceDirectMicroprocessorsandMicrosystemsjournalhomepage:www.elsevier.com/locate/micproAnembeddedsoftware-reconfigurablecolorsegmentationarchitectureforimageprocessingsystemsGrigoriosChrysosa,⇑,
2、ApostolosDollasa,NikolaosBourbakisa,baTechnicalUniversityofCrete,ECEDept.,Chania,Crete,GreecebWrightStateUniversity,Engr.CollegeATRCenter,Dayton,OH45435,USAarticleinfoArticlehistory:Availableonline17December2011Keywords:ReconfigurablearchitecturesImagesegmentationEmbeddeds
3、ystemsabstractImagesegmentationisoneofthefirstimportantanddifficultstepsofimageanalysisandcomputervisionanditisconsideredasoneoftheoldestproblemsinmachinevision.Lately,severalsegmentationalgorithmshavebeendevelopedwithfeaturesrelatedtothresholding,edgelocationandregiongro
4、wingtoofferanopportunityforthedevelopmentoffasterimage/videoanalysisandrecognitionsystems.Inaddition,fuzzy-basedsegmentationalgorithmshaveessentiallycontributedtosynthesisofregionsforbet-terrepresentationofobjects.Thesealgorithmshaveminordifferencesintheirperformanceandthe
5、yallperformwell.Thus,theselectionofonealgorithmvs.anotherwillbebasedonsubjectivecriteria,or,drivenbytheapplicationitself.Here,alow-costembeddedreconfigurablearchitecturefortheFuzzy-likereason-ingsegmentation(FRS)methodispresented.TheFRSmethodhasthreestages(smoothing,edgede
6、tectionandtheactualsegmentation).Theinitialsmoothingoperationisintendedtoremovenoise.Thesmootherandedgedetectoralgorithmsarealsoincludedinthisprocessingstep.Thesegmentationalgorithmusesedgeinformationandthesmoothedimagetofindsegmentspresentwithintheimage.InthisworktheFRSse
7、gmentationalgorithmwasselectedduetoitsprovengoodperformanceonavarietyofapplications(facedetection,motiondetection,AutomaticTargetRecognition(ATR))andhasbeendevelopedinalow-cost,reconfigurablecomputingplatform,aimingatlowcostapplications.Inparticular,thispaperpresentstheimp
8、lementationofthesmoothing,edgedetectionandcolorsegmentationalgorithmsusingStretchS5000pro
