車牌定位與識(shí)別的設(shè)計(jì)與實(shí)現(xiàn)-畢業(yè)論文

1、重慶理工大學(xué)畢業(yè)論文目錄摘要...........................................................ⅠAbstract...........................................................II1緒論.............................................................11.1課題的來(lái)源及意義.

2、...........................................11.2課題主要研究的問(wèn)題..........................................21.3系統(tǒng)設(shè)計(jì)的目標(biāo)及基本思路....................................21.3.1設(shè)計(jì)目標(biāo)...............................................21.3.2基本思路...

3、............................................32圖像預(yù)處理.......................................................42.1汽車牌照的特征..............................................42.2灰度變換.................................................

4、...52.3圖像增強(qiáng)....................................................62.4圖像邊緣提取及二值化........................................82.4.1圖像邊緣提取..........................................82.4.2灰度圖像二值化....................................

5、...142.5形態(tài)學(xué)濾波................................................153車牌定位方法研究................................................193.1車牌定位常用方法介紹.......................................193.1.1基于紋理特征分析的定位方法..........................

6、193.1.2基于數(shù)學(xué)形態(tài)學(xué)的定位方法............................193.1.3基于邊緣檢測(cè)的定位方法..............................193.1.4基于小波分析的定位方法..............................193.1.5基于圖像彩色信息的定位方法..........................203.2基于行掃描灰度跳變分析的車牌定位方法........

7、..............204車牌識(shí)別方法研究................................................224.1牌照區(qū)域的分割和圖像進(jìn)一步處理.............................224.1.1牌照區(qū)域的分割.......................................224.1.2車牌進(jìn)一步處理...............................

8、........224.2字符的分割與歸一化.........................................234.2.1字符分割.............................................234.2.2字符歸一化...........................................244.3字符的識(shí)別....................................

9、.............245總結(jié)與展望......................................................275.1總結(jié).......................................................275.2心得體會(huì)...................................................275.3展望................

10、.......................................28致謝...............................................................29參考文獻(xiàn)...........................................................30附錄一............................................

11、.................31重慶理工大學(xué)畢業(yè)論文IIAbstractAsanimptantpartoftheIntelligentTransptationSystemsLicensePlateRecognitionSystemplaysanimptantroleintrafficmonitingarea.Licenseplaterecognitionsystemcanbedividedintothreepartsi.e.ima

12、gepreprocessinglicenseplatelocationacterrecognition.Thevehiclelicenseplatelocationisanimptantprocedurewhichisusedtoobtainalicenseimage.Itisalsothekeyofthefollowingacterrecognitionsystemwhichcanidentifythecrectlicenseplat

13、eacters.Licenseplatelocationsystemcanperfmthevehiclelicenselocationfunctioni.e.findingthelocationofthevehiclelicenseintheimagecontainingtheentirevehiclelicenseplatepositioningtheplateregionthendemonstratingthelocationinf

14、mationonthecomputerscreenwhichwillbetransferredtotheacterrecognitionsystem.Accdingtotheowninherentacteristicsoflicenseplatethisthesisintroducesmanycommonlyuseddigitalimageprocessingtechniquesinthelocationprocessoflicense

15、plate:binaryimageprocessingedgedetectionimageenhancementsoon.Thenweintroducethecommonlyusedmethodsoflicenseplatelocation.Furtherweanalysisthesemethodssummarizetheiradvantagesdisadvantages.Meoverweproposelocatingplatebyus

16、ingthegrayscaleimageprojectionlinescanningmethodwithedgedetection.ThissystemwasimplementedbyusingtheMATLAB.Finallytheexperimentalresultsindicatethatthesystemhasagoodhumancomputerinteractionabetteridentificationratehigher