Complex Document Image Segmentation using Localized

Complex Document Image Segmentation using Localized

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时间:2019-07-14

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1、2004IEEEInternationalConferenceonSystems,ManandCyberneticsComplexDocumentImageSegmentationusingLocalizedHistogramAnalysiswithMulti-LayerMatchingandClusterin6Yen-LinChen,Chung-ChengChiu,andBing-FeiWuDepartmentofElf:ctricalandControlEngineering,NationalChiaoT

2、ungUniversity,1001Ta-HsuehRoad,Hsinchu30050,Taiwan(ylchen,chiu,bwu}@cssp.nctu.edu.twapproachesapplythefeaturesofwaveletcoefficientstoAbstract-Thispaperproposesanewsegmentationextracttext[6]-[7].Theaforementionedmethodsmostlymethodtoseparatethetext?omvarious

3、complexconcentrateonprocessingdocumentimageswhosetextsdocumentimages.Anautomaticmultilevelthresholdingdonotoverlayacomplexbackground.Suchapproachesmethod,basedondiscriminantanalysis,isutilizedtoareeffectiveinextractingcharactersfrommonochromaticrecursivelys

4、egmentaspecijkdblockregionintoseve,mlbackgrounds.However,theycannotsuccessfullysegmentlayeredimagesub-blockr.Thenthemulti-loyerregiin-thetextstringsfromacomplexdocumentimageswhichbasedclusteringmethodispe$ormedtoprocessi,hetextstringsareembeddedwithdecorate

5、dbackgroundlayeredimagesub-blockstoformseveralobjectlayers.objectsortextures.Hencecharacterstringswithdferentilluminations,non-textobjectsandbackgroundcomponentsoresegmentedInthispaper,weproposeaneffectiveregion-basedintoseparateobjectlayers.Afterperformedt

6、iztsegmentationmethodforextractingobjectsfromdifferentextractionprocess,thetextobjectswithdyerentsizes,compleximages.Thecompleximageincludesmanystylesandilluminationsareproperlyextracti?ddifferentobjectssuchascharacters,figures,photographs,Experimentalresul

7、tsontheextractionoftextstringsfiomandcomplexbackgrounds.Thoseobjectsmaybecomplexdocumentimagesdemonstratetheeflectivencssoverlappedbyeachothers.Theproposedmethodutilizesoftheproposedregion-basedsegmentationmethod.twostagestosegmentobjectsfromvariouscompound

8、documentimages.ThefmtstageisautomaticmultilevelKeywnrds:Imagesegmentation,multilevelthresholding,thresholdingbasedonlocalizedhistogramanalysis,whichregion-basedsegmentation,documentanalysis.decomposesd

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