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《x射线图像动态降噪技术的研究-信号与信息处理专业毕业论文》由会员上传分享，免费在线阅读，更多相关内容在工程资料-天天文库。
1、DenoisingofReal-timeX-rayImagingTechnologyResearchAbstractAuthor:ZhaoYuepingTutor:WangMingquanIntheactualX-raydetectionprocess,becauseX-rayreal-timedetectionsystemisaffectedbymanykindsofqualitativefactors,thesefactorsaffectthequalityoftheimagesjeadtolargerbackg
2、roundupsanddownsandimagenoisetoX-rayimage,bringinconvenienceforsubsequentdeal.ThusimprovingX-rayimagingdetectionsharpnessiskeytodenoise.EffectivelysuppressingX-rayimagenoiseisthekeyinthispaper.BasedonimageintensifierindustrialX-raydetectionsystemastheresearchob
3、ject.FocusesontheanalysisofX-rayimagingsystemthebasicprincipleandnoisesources,improvedtheX-rayimagenoiserestrainingalgorithm.AimingatthecharacteristicsofX-rayimagenoise,firstlythispaperanalyzestheconventionalX-rayimagefilteringalgorithm,andobtainsadvantagesandd
4、isadvantagesofeachalgorithm.Second,asinglealgorithmcannoteffectivelyrestraintheX-rayimagenoise,comeupwithrapidmedianrecursivefilteringalgorithmandwaveletrecursivefilteringalgorithm•Finally,usingthebackgroundmodelingtodetectmovingobjectsandtheprincipleofMean-Shi
5、ftobjecttracking.Real-timetrackingmovingregionandNL-meansdynamicnoisereduction.UsingrapidmedianrecursivefilteringalgorithmandwaveletrecursivefilteringalgorithmtoX-rayimagenoise,imagesignal-to-noiseratioisimproved,noisegotbetterinhibition.Usingthebackgroundmodel
6、ingdetectmovingobjectsandMean-Shiftobjecttrackingmethod,Thenoiseofthemovingregionissuppressed,clarityiseffectivelyimproved.Keywords：X-raydetection,Imagenoise,Recursivefiltering,Backgroundmodeling1X射线图像动态降噪技术的研究11.1研究的目的和意义11.2X射线成像技术的历史和发展趋势11.3X射线实时成像检测技术21.4本
7、论文的主要工作32X射线成像系统的基础理论42.1X射线实时成像系统的基本原理42.2数字化X射线成像装置系统结构5221采集卡+图像增强器+CCD/CMOS相机采集系统52.2.2探测器列阵射线采集条统82.3评价X射线图像质量的标准92.4小纟吉1O3X射线图像降噪算法113.1X射线图像的基本噪声113.2X射线图像的基本降噪方法123.2.1中值滤波123.2.2土勻值滤波133.2.3幵三态滤波143.3X射线图像的增强173.3.1灰度级线性拉伸183.3.2灰度直方图均衡193.4多帧叠加平均算法203
8、.5小波递归滤波223.5.1小波变换223.5.2日寸域递滤波(recursivefiltering)253.6快速中值递归滤波273.6.1均值加速的快速中值滤波算法273.6.2快速递归中值算法293.6小节291X射线图像的动态降噪301.1Opencv的体系结构304.2序列图像的运动目标检测概述314.2.1帧I、司差分法324.2
