道路標(biāo)線養(yǎng)護(hù)信息自動(dòng)采集技術(shù)研究.pdf

1、武漢理工大學(xué)碩士學(xué)位論文道路標(biāo)線養(yǎng)護(hù)信息自動(dòng)采集技術(shù)研究姓名：章先陣申請(qǐng)學(xué)位級(jí)別：碩士專業(yè)：載運(yùn)工具運(yùn)用工程指導(dǎo)教師：嚴(yán)新平20050401武漢理J：大學(xué)碩士學(xué)位論文AbstractNowadays，mostoftheinformationcollectingtasksoftheroadmarkingarecompletedbymanualmethod，whichnotonlywastesmuchtimeandmanpowerbutal

2、soisnotsoaccurateforsomeman—madefactorsThestudyonautomaticcollectingfortrafficmarkingswillhaveanimportantsignificationonimprovingtheefficiencyofthetrafficmarkinginformationcollectingandthemaintainingmanagementThestudiesi

3、nthispaperincludeautomaticdatacollectingsystemofroadmarkingsinformation，real—timecollectingofroadmarkingsdistressimage，imagesegmentationandroadmarkingsdistresssurvey，integratedwithtechniquessuchasimageprocessing，vehiclea

4、ndsensortechnologyInthispaper，automaticdatacollectionsystembasedonmachinevisionisdesignedforroadmarkingsmaintenanceinformationThissystemismadeupofvehicle，computerimagecollectionsubsystem，imageinformationcollectionsubsyst

5、emandlocatingsubsystemImagecollectionsubsystemcollectsimagebyCCDcameraLocationsubsystemmeasuresthedistanceofvehicleandthencontrolsthefrequencyofcollectingimage，Geographicalsubsystemcollectsdatasuchaslongitude，latitudeand

6、SOonDuetothewide—anglelenswithinclinedlightaxisfromroadsurface，theroadmarkingsimagecollectedwouldbedistortedandweaccomplishtherectificationTosegmenttheroadmarkingsisthefirststeptotaketheautomaticmeasurementofthedistressH

7、ere，theoptimalthresholdmethod，maximumclassessquareerrormethodandminimumerrorthresholdmethodareusedtosegmentthedistressedroadmarkingsformsometypicalimagesandwedrawaconclusionthatthesegmentationusingminimumerrorthresholdme

8、thodismostperfect，butitcannotsegmentthedetailsaccuratelyInordertoachievemoreperfectsegmentationeffect，thedynamicthresholdmethod，basedontheminimumerrorhasbeendiscussedinthispaperAtlast，weapplythedynamicthresholdmethodinte