數(shù)字圖像處理中分割方法的研究與實(shí)現(xiàn).pdf

1、武漢理工大學(xué)碩士學(xué)位論文數(shù)字圖像處理中分割方法的研究與實(shí)現(xiàn)姓名：宋曉東申請(qǐng)學(xué)位級(jí)別：碩士專業(yè)：信號(hào)與信息處理指導(dǎo)教師：闕大順2003.3.1墓堡墨三查堂堡主堂焦笙塞——AbstractDi百mlimageprocessingisamathematicalprocedurewhichcalculatedbycomputerImagesegmentationisatechnologythatdivideimagehawcharacteris

2、ticareasandputforwardtheinterestedtargetImagesegmentationisakeystepfromdigitalimageprocessingandanalysis，SOithasallimportantpositioninthetechnologyoftheimageprocessingThebackgroundofthispaperis‘theresearchontherecognitio

3、nalgorithmofvideosignalsamplinginITS”whichisascientific＆technicaldevelopmentplanofHuBeiprovinceImagesegmentationmainlyhasfollowingseveraltrealrnentsFirstlyproceedingfromthewholegraphJudgeeanhpixel’Sclassificationbasedonc

4、ollectedgroupsofattributespaces，finallygettheareasSecondlysettingoutfrompixelsFormanareabycollectingnearpixelswithunanimousattributeThirdlydivisioncollectionmethodDividetheimageintoseveralregularblocks，don’tseparatethebl

5、ockswithoutconsistentattributeandunitetheblockswiththes!)／neatlribute，antilformingadistrictmapTheahilitythatmancandistinguishdifferentgoalsfromthecomplicatedsceneryquicklyatleastpartlybenefitfrommanykindsofinformationint

6、heimage，suchasthegreylevel，bordartexttlreetoIIilluminepeople協(xié)createmethodsonhowtousethisinformationtosegmentationEdgeinformationisthemostimportanthighfrequencyinformationofallimageThereforeweshouldtrytomaintainmoreedgein

7、formationintheprocessofdenoisingWepresentanewimagedenoisingandsegmentationmethodbasedonwaveletanalysisandmathematicalmorphologyInsomeextent，ItsimulatetheabililyofhumanvisionsystembythismeansTheexperimentresultsshowthatth

8、esegmentationmethodiseffectiveithassomepracticalityThisthesiscandivideintosixpartsThefirstpartistointroducetheclassification，characteristic，andrelevanttechnologyofimageprocessing，andsegmentation’Spositionintheimageengine

9、eringThesecondpartwillanalysethecharacteristicandadvantageofdigitalimagetrailsformatioobasingontherelevantmathematiCStheoriesThethirdpartiStointroduceseveraltypicaldigitalpretreatmentoftheimageThefourthpartwiltputallemph

10、asisonvariouskindsofmainalgorithmoftheimagesegmentation，followedbythecomparison，theconclusion，andclassificationThefifthpartwillintroducesomegeneraltoolsofprogramdesignsforimageprocessing，andputforwardasegmentationexperim