基于径向投影和半监督学习视网膜血管分割

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1、华中科技大学硕士学位论文基于径向投影和半监督学习的视网膜血管分割姓名：彭勤牧申请学位级别：硕士专业：信号与信息处理指导教师：尤新革2011-01-25u¥‰EŒÆa¬ÆØ©Á‡ÀÉ+?n†©Û´šÆÚ)Ô£O+•ïÄ9:¯K§k•‡nØïÄdŠÚ2•A^µ"3šÆþ§Àƒ'¾CŒ±ý«˜;¾"ÏdJc4‡ö‰±Ï5uÚä§éõ‡öŒ±Jcý“ƒ';¾"˜„À¾Cdú‰š)?1<óu§I‡s¤õžm¶A^OŽÅgÄuÿŒJpú.㔵Ç"Œ‚É+J´Àã”Y©ÛÚ?ncJ§Ï•É+´À㔥••½Ú•Ì‡("8cïÄöJÑNõÉ+gÄu

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6、±•þÅIu¥‰EŒÆa¬ÆØ©AbstractRetinalimageprocessingandanalysisarehotissuesinmedicalandbiometricsre-search,whichhaveimportantvalueint

7、heoreticalresearchandextensiveapplicationback-ground.Inmedicalresearch,retinalimagesprovideconsiderableinformationonpatholog-icalchangeswhichmayrevealsomedisease.Itisbelievedthatalargenumberofpatientscanbeprevented,inpartthroughperiodicscreeningandearlydiagnosis.Identificationofretinopathyismainlydo

8、nebyophthalmologists.manualanalysis;however,ittakesophthal-mologistsanexpensivetime.Thus,anautomaticallycomputerizedapproachcanbeusedtoimprovetheefficiencyofassessmentoffundusimages.Reliablevesselextractionisaprerequisiteforsubsequentretinalimageanalysisandprocessingbecausevesselsarethepredominantan

9、dmoststablestructuresappearingintheimages.Therearenumberofgoodwaystodetectbloodvesselsinretinalimageproposedbyresearchers.Butmostofthemtrendtolosethinvesselsinthelowcontrastbackground.Weinvestigateanautomatedmethodindetectionofthecenterlinetosolvetheproblem.Eachpixelinthefiledofviewisperformedtoobta

10、inaprojectedcurvebyradialprojection.Bymakingananalysisofthepeakpropertyofthecurve,wecanjudgewhetherthepixelisavesselcandidateornot.Thenaremovalschemeisusedtoeliminatefalsecandidateandgetthetruecenterlinecan