Optoelectronic Detecting System for Inner Walls of Pipes

(整期优先)网络出版时间:1998-02-12
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Thispaperisconcernedwithahighcharacteristicimageprocessingandrecognitionsystemthatisusedforinspectingreal-timeblemishes,streaksandcracksontheinnerwallsofhighaccuracypipes.Asaregulardetector,theBPneuralnetworkisusedforextractingfeaturesoftheimageinspectedandclassifyingtheseimages,ittakesfullyadvantageofthefunctionofartificialneuralnetwork,suchastheinformationdistributedmemory,largescaleself-adaptingparallelprocessing,highfault-tolerantabilityandsoforth.Besides,animprovedBPalgorithmisusedinthesystemfortrainingthenetwork,andmakingthelearningprocedureofthenetconvergestotheminimumofoverallsituationathighrate.