简介:针对被动雷达导引头抗干扰评估指标多、难以综合评定的问题,提出了基于物元模型的被动雷达导引头抗干扰综合评估方法.该方法以物元模型的可拓集合和关联函数理论为基础,确定了抗干扰性能的等级范围,将待评的抗干扰性能指标代入各等级的集合进行关联度的计算,按照关联度的大小确定相应的抗干扰性能等级.结合多种被动雷达导引头的指标参数,进行了算例分析,结果表明,该方法能够实现对被动雷达导引头的抗干扰性能综合评估.该方法的提出对于其他体制导引头抗干扰性能综合评估也具有借鉴意义.
简介:Differentmodalitiesinbiomedicalimages,likeCT,MRIandPETscanners,providedetailedcross-sectionalviewsofhumananatomy.Thispaperintroducesthree-dimensionalbrainreconstructionbasedonCTslices.Itcontainsfiltering,fuzzysegmentation,matchingmethodofcontours,cellarraystructureandimageanimation.Experimentalresultshaveshownitsvalidity.TheinnovationismatchingmethodofcontoursandfuzzysegmentationalgorithmofCTslices.
简介:Thispaperproposesanovelexemplar-basedmethodforreducingnoiseincomputedtomography(CT)images.Intheproposedmethod,denoisingisperformedoneachblockwiththehelpofagivendatabaseofstandardimageblocks.Foreachnoisyblock,itsdenoisedversionisthebestsparsepositivelinearcombinationoftheblocksinthedatabase.Weformulatetheproblemasaconstrainedoptimizationproblemsuchthatthesolutionisthedenoisedblock.Experimentalresultsdemonstratethegoodperformanceoftheproposedmethodovercurrentstate-of-the-artdenoisingmethods,intermsofbothobjectiveandsubjectiveevaluations.