1、東北林業(yè)大學碩士學位論文基于細胞微觀數(shù)字化特征的木材材種識別方法研究姓名：徐海濤申請學位級別：碩士專業(yè)：計算機應用技術(shù)指導教師：任洪娥20070601AbstractIntimbertrade，theexactrecongnizingofwoodspecieshasbecometheprimaryissueinthewoodworkingindustryThetraditionalwoodspeciesmcongnizingmethod

2、whichhasbeenusedforalongtimeseriouslyaffectedbyvariousfactorsanditsoperatingefficiencyislowerThiswillnotbeabletomeettherequirementsoflarge—scaleandquickwoodrecongnizingTherefore，improvingtheaccuracyofidentifyingwoodspeci

3、esandrealizingautomatizationofthewooddetectingandidentifyingisthecriticalproblemwhichneedssolvingurgentlyinwoodworkingindustryofourcountryThemainpurposeofthisdissertationistodiscusswoodcellbystudyingshape—setandsegmentat

4、ion、preprocessingmethodsofthewoodcellentityexaminedimagethedissertationalsoanalyzesthetechniquesofcellfeatureextractionandimagesegmentationandSOonwithlowcontrastandheavynoisybackgroundThispapercentralizesOt。heslicingeffe

5、ctprocessingofcellentityexaminedimagecellshape—setandcriterioncellsimulation，inwhichslicingeffectprocessingofcellentityexaminedimageandcellshape—setisthekeypointThissubjectwhichadopttheadvancedimageprocessingtechnologypr

6、oposedthemethodsandthoughtsthatsuitableforpreprocessingandsegmentingtheentityexaminedimageofthewoodcellaccordingtOthecharacteristicsoftheentityexaminedcellimageandrealizedtheslicingeffectprocessingItalsoextractedandanaly

7、zedthecharacteristicparametersofcelloutlineandareadigitizingitandsimulatedthecriterioncell，Takingintoaccounttherequirementsofsystemthedissertationdesignedthesystemsoftwarewhichonthedigitalcharacteristicsofcellmicrostruct

8、urebyVisualC什60programminglanguageandthemodulardesigningmethodbaseonthewoodspeciesrecognition，Thereachofthemethodaboutwoodspeciesrecognitionwouldofferanewtechnical；referencemeansforwoodclassificationandhadtheimportantmea

9、ningforacceleratingthedevelopmentofthewoodspeciesrecognitiontechnologyadvancingthistechnologyintopracticeandfullyutilizedthetimberresourcesofourcountryKeywordsWoodspeciesrecognition；Characteristicparameters；Cellsegmentat