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1、中国科学技术大学硕士学位论文球面复眼多通道信息融合姓名:张浩申请学位级别:硕士专业:精密机械与仪器指导教师:王克逸20100602摘要ABSTRACTCompoundeyeismoreandmoreconcernedbyacademiaandindustry,duetoitsadvantageoflargeviewfield,highagility,andmuti-channels.Thereforescholarsofmanycountriesbegintofocusontheirinterestsintotheresearchof
2、artificialcompoundeye.However,theadvantageofcompoundeyeisusuallylimitedbecauseoftherestrictionoffabricationtechnique.Thestructureofplanercompoundeyelimitsitsfieldofview.Althoughsphericalcompoundeyeisverysimilarwiththenaturecompoundeyeinlargefieldofview,theplanerimagesen
3、sorrequiresthateveryeyeletlensinthesphericalsurfacehasdifferentfocuslengthanddifferentprofilewhichisusuallyaspherical.Furthermore,theasphericallensisverydifficulttofabricatebyusingtraditionalfabricationtechnique.Ourlabdesignedanewartificialcompoundeyemodelbasedonthenatu
4、recompound-eyestructure.Thismodelhandlesthecontradictionbetweenthesphericaldomeandplanerimagesensor.Itsopticalperformancecanbeoptimizedbasedontheliquidlensfabricationsystemdevelopedbyourlab.Inthisworkreported,theopticalperformanceofthismodelisanalyzed.Weproposethetechni
5、queofimagedenoisingandimagetransferringintheimagepreprocessingsection,includingsub-pixelmethodandNeuralnetworkarithmeticwhichsolvetheproblemofaberrationandnoiseincompoundeyeimagingprocess.Moreover,weproposemulti-channelinformationinfusingarithmetic,whichcontainsimagemos
6、aic,superresolutionimagingandmovingobjectdetection.Toexaminethefeasibilityofthearithmeticinimagepreprocessingandmulti-channelinformationinfusing,weperformedsimulationbyusingMatlab,andbuilttheexperimentalplatformforfurtherobservation.Bothofresultsshowthatneuralnetworkhas
7、goodperformanceinthenonlinearcalibrationandthecenterofgravitymethodcanrecordthepositionofspotprecisely.Besides,theresultsalsoshowthatalthoughcompoundeyeisanopticalsystemthatsacrificeitsspatialresolutiontoimproveitsfieldofview,ourcompoundeyemodelcanstilldetecttheprecisep
8、ositionofmovingobject.Ourmodelwillhavehasgoodapplicationforeground.KeyWords:compoundeye,neuralnetwork,centerof