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1、II摘要万方数据AbstractIIIAbstractImagesegmentationisoneofthekeysolutionsofimageprocessing.Theresultoftheimagesegmentationistodividetheimageintoseveralpartswhichstandsfordifferentcharacters,andthenmarkthesamepixelwiththesamevalue.Theimagesegmentationmainlyincludethemethodbas
2、edonregionseveredhere,methodbasedonedgedetectionandthemethodbasedonclusteringandsoon.Themethodbasedonclusteringismorefrequentlyusedintheimagesegmentation.Usingthemethodbasedonclusteringtodividetheimageistofindthedecisionpoint,lineandsurfacebytheknowntrainingsamples,an
3、dthenmapthembacktotheoriginalimagespacetorealizetheimagedivision,thisisalsocalledtheaimoftheimagesegmentation.Clusteringisanimportantdatapartitionmethod,whichisanunsupervisedsegmentation.Themodelswiththesameattributeincertainaspectswillorganizedintoonegroupinthecluste
4、ranalysis,andthemethodbasedonclusteringatpresentcanbedividedintosingleobjectiveclusteringimagemethodandmultiobjectiveclusteringimageaccordingtothenumberoftheobjectivefunction.ThepaperadvancesheclusteringalgorithmforSARimagesegmentationbasedonPSOandspaceandtheclusterin
5、galgorithmforimagesegmentationbasedonIMPSO.Theworkarrangementasfollows:(1)Inchapter2,anewimagesegmentationalgorithmbasedonPSOandspacedistanceclusteringalgorithmisproposed.Inordertoslovetheproblemsappearinginthetraditionalsingleobjectiveclusteringimagesegmentationalgor
6、ithm,suchaslocalerrors,regionaldiscrepancy,theclusteringsegmentationfirstlydividedtheimageintononoverlappingregionsofirregularbythewatershedtransform,reducingover-segmentationisaclusteringoptimizationprocess.Itnotonlyconsidersthetexturefeaturesregion,alsoconsidersthes
7、pacecharacteristicoftheregiontoensuretheintegrityofimagesegmentationinformation,themaintainregionalconsistencyandtheimprovementthequalityofimage.(2)Inchapter3,anovelmultiobjectivePSOclusteringmethodisproposed.Inthesingletargetclusteringalgorithm,theevaluationofcluster
8、ingresultsofsingleaccessjustapplytothedistributeddatabutnottheothers.Inordertomakeupforthedisadvantage,this万方数据IVAbstractmet
