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基于笔画宽度检测和改进块修复的自动英文文本移除算法.docx

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基于笔画宽度检测和改进块修复的自动英文文本移除算法 Abstract Inthispaper,weproposeanimprovedalgorithmforautomaticallyremovingEnglishtextfromimages.Thealgorithmincorporatesstrokewidthdetectionandenhancedblockrepairmethodstoeffectivelydealwithtextremovalchallengessuchasvariabletextsizes,fontstyles,andbackgrounds.Ouralgorithmconsistsofthreestages:strokewidthdetection,connectedcomponentanalysis,andblockrepair.TheexperimentalresultsshowtheeffectivenessandsuperiorityofourproposedmethodinEnglishtextremoval. Introduction Englishtextremovalisachallengingtaskinimageprocessingandcomputervision.Itinvolvesremovingoverlays,watermarks,andtextfromimagestoimprovevisualqualityandpreparethemforsubsequentanalysisand/orprocessing.Textremovalisawidelyusedtechniqueinavarietyofapplications,includingdigitalforensics,imagerestoration,andcontentanalysis. Theprimarychallengeoftextremovalisthatthetextmayhavedifferentfontstyles,sizes,andcolors,anditmayoverlapwiththebackgroundorotherobjectsintheimage.Toeffectivelyremovetext,itisnecessarytodistinguishthetextfromtheotherpartsoftheimageandtorepairtheimageinawaythatmakestheremovallooknatural. Manytextremovalalgorithmshavebeenproposedintheliterature.Theseincludetemplate-basedmethods,segmentation-basedmethods,andinpainting-basedmethods.However,mostofthesemethodshavelimitationswhenitcomestodealingwiththechallengesoftextremoval.Forexample,template-basedmethodsarenoteffectiveinhandlingvariabletextsizesandfontstyles,whilesegmentation-basedmethodsmayfailincaseswherethetextoverlapswithotherobjectsintheimage. Inthispaper,weproposeanimprovedalgorithmforautomaticallyremovingEnglishtextfromimages.Ouralgorithmincorporatesstrokewidthdetectionandenhancedblockrepairmethodstoeffectivelydealwithtextremovalchallengessuchasvariabletextsizes,fontstyles,andbackgrounds.Themaincontributionsofouralgorithmareasfollows: 1.Thealgorithmisbasedonstrokewidthdetection,whichisapowerfultoolfordistinguishingtextfromotherimageelements. 2.Thealgorithmincorporatesaconnectedcomponentanalysistoaccuratelysegmentthet