基于PaxScan2520V平板探测器药柱X射线实时成像系统的开发
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摘要
随着电子技术和射线无损检测的发展,X射线实时成像设备的到了很大的发展。而X射线平板探测器实时成像技术现在成了研究开发的热点。但是由于平板探测器价格昂贵,国内相关研究和应用比较少。课题以PaxScan2520V平板探测器作为研究对象,针对药柱疵病X射线检测,配合厂家搭建了硬件系统,并开发了X射线实时成像系统软件。
在分析了射线检测的物理基础与X射线平板成像的原理的基础上,设计了药柱疵病检测的射线实时成像系统。并对实时成像系统各项指标做了评价,评价结果满足检测需求。
论文对平板成像系统中影响成像质量的主要环节进行了分析研究,对该过程的偏差、像元响应不一致及坏点等图像降质因素进行了有效抑制。对系统成像中图像随机噪声进行了校正并改进了工程化帧积分算法。
缺陷的特征提取为智能识别和评判提供数据,为实现X射线检测的自动化提供理论基础。论文针对药柱X射线图像,总结以往缺陷特征提取的方法的基础上,引进模糊理论,利用了广义多层次模糊算子增强算法,实现了对药柱X射线图像缺陷边缘特征提取,实验结果证明,对药柱一般缺陷提取效果良好,并为以后药柱X射线缺陷自动识别打下良好的基础。
综上所述,X射线实时成像系统达到了课题和厂家的要求。与其他成像系统相比有其优势和独特之处。但是还有补足,需要进一步完善。
With the development of the electron-ray technology and non-destructive testing,X-rayreal-time imaging equipment has been greatly improved. Research and development ofreal-time imaging technology through X-ray flat panel detector has now become a hot spot.However, due to its high cost, the flat panel detector has not been widelystudied and appliedin China. This essay focuses on the study of PaxScan 2520V panel detctor which is used todetect the flaws in the grain through X-ray. On the request of the customers, the releventhardware system and real-time X-ray imaging system are also developed.
It studies the physical basis of x-rayd etection and the X-ray flat panel detector imagingprinciple and designs the real-time x-ray imaging system used in grain flaw detection, andevaluates the system’s various character tables,all of which meet the detecting demand.
The paper details the system’s image calibrating and noise reducing function, putsdeviation of the process, inconsistent pixel response and the Dead and other major elementswhich affect the imaging quality under effective control, corrects the random noise inimagingandimprovestheengineeringframeintegralalgorithm.
Defect feature extraction provides datafor intelligent identificationand evaluation,andis the theoretical foundation of automatic X-ray inspection. This paper takes a grain’s X-rayimage as a study case, sums up the existing defect feature extraction technology, introducesthefuzzytheory, uses the generalizedmulti-level fuzzyoperatorenhancement algorithms andachieves edgeX-rayimagefeatureextractionwhichhasbeenprovedeffectiveinexperiments,layingasolidfoundationforbetterautomaticX-raydefectidentificationofthegrain.
In summary, the X-ray real-time imaging system in this paper has met both theoreticaland practical demand .It enjoys great advantage compared with other imaging systems, but still with room of further improvement.
在分析了射线检测的物理基础与X射线平板成像的原理的基础上,设计了药柱疵病检测的射线实时成像系统。并对实时成像系统各项指标做了评价,评价结果满足检测需求。
论文对平板成像系统中影响成像质量的主要环节进行了分析研究,对该过程的偏差、像元响应不一致及坏点等图像降质因素进行了有效抑制。对系统成像中图像随机噪声进行了校正并改进了工程化帧积分算法。
缺陷的特征提取为智能识别和评判提供数据,为实现X射线检测的自动化提供理论基础。论文针对药柱X射线图像,总结以往缺陷特征提取的方法的基础上,引进模糊理论,利用了广义多层次模糊算子增强算法,实现了对药柱X射线图像缺陷边缘特征提取,实验结果证明,对药柱一般缺陷提取效果良好,并为以后药柱X射线缺陷自动识别打下良好的基础。
综上所述,X射线实时成像系统达到了课题和厂家的要求。与其他成像系统相比有其优势和独特之处。但是还有补足,需要进一步完善。
With the development of the electron-ray technology and non-destructive testing,X-rayreal-time imaging equipment has been greatly improved. Research and development ofreal-time imaging technology through X-ray flat panel detector has now become a hot spot.However, due to its high cost, the flat panel detector has not been widelystudied and appliedin China. This essay focuses on the study of PaxScan 2520V panel detctor which is used todetect the flaws in the grain through X-ray. On the request of the customers, the releventhardware system and real-time X-ray imaging system are also developed.
It studies the physical basis of x-rayd etection and the X-ray flat panel detector imagingprinciple and designs the real-time x-ray imaging system used in grain flaw detection, andevaluates the system’s various character tables,all of which meet the detecting demand.
The paper details the system’s image calibrating and noise reducing function, putsdeviation of the process, inconsistent pixel response and the Dead and other major elementswhich affect the imaging quality under effective control, corrects the random noise inimagingandimprovestheengineeringframeintegralalgorithm.
Defect feature extraction provides datafor intelligent identificationand evaluation,andis the theoretical foundation of automatic X-ray inspection. This paper takes a grain’s X-rayimage as a study case, sums up the existing defect feature extraction technology, introducesthefuzzytheory, uses the generalizedmulti-level fuzzyoperatorenhancement algorithms andachieves edgeX-rayimagefeatureextractionwhichhasbeenprovedeffectiveinexperiments,layingasolidfoundationforbetterautomaticX-raydefectidentificationofthegrain.
In summary, the X-ray real-time imaging system in this paper has met both theoreticaland practical demand .It enjoys great advantage compared with other imaging systems, but still with room of further improvement.
引文
[1] ThePaxScan2520V_XIOperatingInstructions_RevC_051006.June2006.
[2] S.Chapuy,M.Dimcovski,Z.Dimcovski,Real-TimeFlat-PanelPixelImagingSystemandControlforX-RayandNeutronDetection.IEEETRANSACTIONSONNUCLEARSCIENCE.2001:48(6):2357-2364.
[3]曾祥照,彭志华.计算机在X射线数字化实时成像无损检测中的应用[J].检测与修复.2000,17(2):77-81.
[4]刘德镇.现代射线检测技术[M].北京.中国标准出版社.1999.
[5]美国无损检测手册.射线卷[M].上海:世界图书出版公司,1992:748-750.
[6]李家伟,陈积懋.无损检测手册[M].北京:机械工业出版社,2002.
[7] http://www.qualitydigest.com/currentmag/articles/01articles.htlm.2003.
[8]苟量,王绪本,曹辉. X射线成像技术的发展现状和趋势[J].成都理工学院学报.2002(4):227-231.
[9]牛憨笨.图像信息获取技术研究进展[J].深圳大学学报.2000年第17卷第4期.
[10] VarianMedicalSystem.PaxScan2520VIP-9Systen&ServiceGuide.June2000.
[11] S. O. kasap and J. A.detectors [J].IEEE Proc.Rowlands. Direct-conversion flat-panelX-rayimage-CircuitsDevicesSyst.Vo.149,No.2,April2002.
[12] Sylvie Chapuy, Marc Dimcovski. Real-time Flat-Panel Pixel Imaging System andControl for X-ray and Neutron Detection[J].IEEE TRANSACTIONS ON NUCLEARSCIENCE.2001年第48卷第6期.
[13]耿容生.第十届亚太无损检测会议情况综述[J].无损检测.2001年第23卷第12期.
[14]郭长运.平板式探测器和常规X射线数字成像未来[J].医疗设备信息,2002(2):1-8.
[15]郑世才.第七讲射线实时成像检验技术[J].无损检测,2000,22(7):328-333.
[16]聂聪.不同平板探测器DR的比较研究[J].南京军区南京总医院. 21(4):87-88.
[17] Yuan Xunhua, Drangova. Maria. Comparison of a digital flat-panel x-ray imageintensifierandconventionalfilm-screensystemforradiostereometricanalysis(RSA)[J].Medical Imaging 2004: Physics of Medical Imaging. Proceedings of the SPIE, 2004,5368:914-921.
[18]江巍. X射线平板探测器的数字图像采集及其存储管理[DJ.北京航空航天大学硕士学位论文,2003,3.
[19]孔凡琴.高IQI灵敏度的工业射线DR成像检测技术研究[D].北京航空航天大学博士学位论文.2006,6.
[20] http://www.yinghua-ndt.com/ushyh/5063-225716.aspx,2007.
[21]谭浩强.C++程序设计[M].北京.清华大学出版社.2004.
[22]陈树越,路宏年.数字式X射线成像无损检测技术[J].华北工学院学报.1999年第20卷第一期.
[23]郑世才.国内外射线照相检验的新技术新方法:数字射线照相技术时代[J].无损探伤,1994年,第一期:1-4.
[24]吴志芳,周立业,王立强,刘锡明.集装箱检测系统中的图像处理机[J].核电子学与探测技术,1999年第一期.
[25]肖永顺,陈志强,张丽,康克军.基于数字平板探测器的高能X射线成像实验研究[A].北京航空航天大学学报,2003,29(6):660-663.
[26]射线检测[M],中国机械工程学会无损检测分会编,北京,机械工业出版社,1997.4.
[27] Jensen.HighSPeed,HighResolutionandLowCostDigitalRadlographyandComputerTomograhySystem.NDTofEngland.2000(14A):673~679.
[28] Suekane.K,Ichimaru.Y,Oqata.Y,Inamura.K,Kanai.K Analysisofimagingpropertyofflat-paneldetector,ProceedingsofICIS’02:2002,280-1.
[29] Neitzel,U., Giacomuzzi,S.M., Peer,R., Gassner,E., Steingruber,I., Jaschke,WComparison of low-contrast detail perception on storage phosphor radiographs anddigital flat panel detector images[J]. IEEE Transactions on Medical Imaging, 2001,239-42.
[30]常发亮,刘静.多线程下多媒体定时器在快速数据采集中的应用[A].计算机应用,2003,23:176-178.
[31]侯捷。深入浅出MFC(第二版)[M].武汉:华中科技大学出版社,2001.
[32]周长发.精通VisualC++图像编程「M].北京:电子工业出版社,2000.
[33]程耀瑜.工业射线实时成像检测技术研究及高性能数字成像系统研制。博士学位论文,南京理工大学,2003.
[34]韩耀旭.多线程编程之问题提出[EB/OL],www.vckbase.com.
[35]张利浩,王勇.显示位图的几种不同方法及其比较[J],图形图像处理,2006,20(4),84-86
[36]雷晓峰,王耀,邓曙光.在VC++中利用多线程实现图像采集与通信[J].微计算机信息.2002.22 (6):6-8.
[37] ReiffKJ.Flatpaneldetectorsclosingthe(digital)gapinchestandskeletalradiology[J].EuropeanJournalofRadiology,1999,31:125-131.
[38] ThePaxScan2520VVirtualCpInterface.June2006.
[39] http://www.yinghua-ndt.com/uAlex/5063-52872.aspx,2007.
[40]姚领田.精通MFC程序设计[M].北京.人民邮电出版发行.2006.
[41]曾祥照,X射线实时成像检测技术现场测评方法[J].无损探伤.2000(5):27-32.
[42]曾样照.分辨率测试卡的结构及图像分辨率测试试方法[J].无损探伤2001(5):7-9.
[43]曾祥照. X射线实时成像系统分辨率及其影响因素.无损探伤.2003,27(6):10-13.
[44] Richard Van Metter, John Yorkston. Factors Influencing Image Quality in DigitalRadiographicSystem[J].SPIE,2001,4320:244-255.
[45]陈树越,路宏年. X射线数字成像噪声特性及噪声消除方法研究[J].无损探测,2001,23(1):9-14..
[46]周正干,腾升华,江巍,安振刚X射线平板探测器数字成像及其图像校准[A].北京航空航天大学学报,2004,30(8):698-701.
[47]程耀瑜,李永红等,射线数字成像检测系统不均匀性分析与校正[J].光电工程.2005.32(5):42-45.
[48]杨巧宁,桂志国,李永利.数字射线图像的滤噪方法[J].测试技术学报,2000,第一期.
[49]孙兆林.MATLAB6.X图像处理[M].北京:清华大学出版社,2002.
[50] (美)卡斯尔曼(Csatleman,K.R.)著;朱志刚等译.数字图像处理[M].北京:电子工业出版社,2002.
[51] Pal S K, King R A. Image Enhancement Using Fuzzy Sets[J ] . ElectronLett , 1980 ,16(9):376-378..
[52] X-Ray Real-Time Imaging for Weld Inspection: II W 3nd Progress Report[J]. BritishJournalofNDT.1987,29(11):426-428.
[53]崔屹.数字图像处理技术与应用[M].电子工业出版社,1997:23-110.
[54]李弼程,郭志刚,文超.图像的多层次模糊增强与边缘提取[J].模糊系统与数学,2000,14(4):77-83.
[55]张晓光.射线检测焊缝图像中的缺陷提取及识别的研究[D].博士学位论文.上海:华东理工大学.2003.5.12.
[56]王保平,刘怀亮,李南京,谢维信.一种新的自适应图像牧户增强算法[J].西安电子科技大学学报(自然科学版).2005.32(2):307-313.
[57] V Kaftandjian , YM Zhu , G Peix et al. Automatic recongnition of defects insidealuminiumingotsbyX-rayimaging.IN2SIGHT,1996,38(9):618-625.
[58] Nacereddine Nafa, Drai Redouane. Weld defect extraction and classification inradiographic testing based artificial neural networks [A/CD]. Proceeding of 15thWCNDT,ROMA,2000.
[59]严曲,赵跃龙.一种基于迭代阈值法的身份证图像二值化算法研究[J].计算机测量与控制. 2005.13(6):595-597.
[60]李卓,郭立红.快速图像处理中阈值选取方法的比较研究[J].微计算机信息.2006.22(3):162.
[61]吴一全,朱兆达.图像处理中阈值选取方法30年(1960~1992)的进展(一).数据采集与处理.1993,8(3):193-201.
[62]全国锅炉压力容器无损检测人员资格鉴定考核委员会,编写.射线检测(试用本),1996.
[63] Kapustin A. E., Bardusova I. I. Computer technologies and X-ray flaw detection ofwelds[A/CD].Proceedingof15thWCNDT,ROMA,2000.
[64]莫锦秋,周晓军.基于模糊子集理论的无损检测缺陷模式识别[J].中国机械工程,1999,10(6):664-666.
[65]黄维通.VisualC++面向对象与可视化程序设计「M}.北京:清华大学出版社,2003.
[66]龚建伟,熊光明.Visual C++/Turbo C串口通信编程实践[M}.北京.电子工业出版社.2007.
[67] Castleman Kenneth著,朱志刚等译.数字图像处理[M].北京:电子工业出版社,1998,9.
[68]彭召意.16位位图灰度化处理方法[J].知识天地.2002,6:150-151.
[2] S.Chapuy,M.Dimcovski,Z.Dimcovski,Real-TimeFlat-PanelPixelImagingSystemandControlforX-RayandNeutronDetection.IEEETRANSACTIONSONNUCLEARSCIENCE.2001:48(6):2357-2364.
[3]曾祥照,彭志华.计算机在X射线数字化实时成像无损检测中的应用[J].检测与修复.2000,17(2):77-81.
[4]刘德镇.现代射线检测技术[M].北京.中国标准出版社.1999.
[5]美国无损检测手册.射线卷[M].上海:世界图书出版公司,1992:748-750.
[6]李家伟,陈积懋.无损检测手册[M].北京:机械工业出版社,2002.
[7] http://www.qualitydigest.com/currentmag/articles/01articles.htlm.2003.
[8]苟量,王绪本,曹辉. X射线成像技术的发展现状和趋势[J].成都理工学院学报.2002(4):227-231.
[9]牛憨笨.图像信息获取技术研究进展[J].深圳大学学报.2000年第17卷第4期.
[10] VarianMedicalSystem.PaxScan2520VIP-9Systen&ServiceGuide.June2000.
[11] S. O. kasap and J. A.detectors [J].IEEE Proc.Rowlands. Direct-conversion flat-panelX-rayimage-CircuitsDevicesSyst.Vo.149,No.2,April2002.
[12] Sylvie Chapuy, Marc Dimcovski. Real-time Flat-Panel Pixel Imaging System andControl for X-ray and Neutron Detection[J].IEEE TRANSACTIONS ON NUCLEARSCIENCE.2001年第48卷第6期.
[13]耿容生.第十届亚太无损检测会议情况综述[J].无损检测.2001年第23卷第12期.
[14]郭长运.平板式探测器和常规X射线数字成像未来[J].医疗设备信息,2002(2):1-8.
[15]郑世才.第七讲射线实时成像检验技术[J].无损检测,2000,22(7):328-333.
[16]聂聪.不同平板探测器DR的比较研究[J].南京军区南京总医院. 21(4):87-88.
[17] Yuan Xunhua, Drangova. Maria. Comparison of a digital flat-panel x-ray imageintensifierandconventionalfilm-screensystemforradiostereometricanalysis(RSA)[J].Medical Imaging 2004: Physics of Medical Imaging. Proceedings of the SPIE, 2004,5368:914-921.
[18]江巍. X射线平板探测器的数字图像采集及其存储管理[DJ.北京航空航天大学硕士学位论文,2003,3.
[19]孔凡琴.高IQI灵敏度的工业射线DR成像检测技术研究[D].北京航空航天大学博士学位论文.2006,6.
[20] http://www.yinghua-ndt.com/ushyh/5063-225716.aspx,2007.
[21]谭浩强.C++程序设计[M].北京.清华大学出版社.2004.
[22]陈树越,路宏年.数字式X射线成像无损检测技术[J].华北工学院学报.1999年第20卷第一期.
[23]郑世才.国内外射线照相检验的新技术新方法:数字射线照相技术时代[J].无损探伤,1994年,第一期:1-4.
[24]吴志芳,周立业,王立强,刘锡明.集装箱检测系统中的图像处理机[J].核电子学与探测技术,1999年第一期.
[25]肖永顺,陈志强,张丽,康克军.基于数字平板探测器的高能X射线成像实验研究[A].北京航空航天大学学报,2003,29(6):660-663.
[26]射线检测[M],中国机械工程学会无损检测分会编,北京,机械工业出版社,1997.4.
[27] Jensen.HighSPeed,HighResolutionandLowCostDigitalRadlographyandComputerTomograhySystem.NDTofEngland.2000(14A):673~679.
[28] Suekane.K,Ichimaru.Y,Oqata.Y,Inamura.K,Kanai.K Analysisofimagingpropertyofflat-paneldetector,ProceedingsofICIS’02:2002,280-1.
[29] Neitzel,U., Giacomuzzi,S.M., Peer,R., Gassner,E., Steingruber,I., Jaschke,WComparison of low-contrast detail perception on storage phosphor radiographs anddigital flat panel detector images[J]. IEEE Transactions on Medical Imaging, 2001,239-42.
[30]常发亮,刘静.多线程下多媒体定时器在快速数据采集中的应用[A].计算机应用,2003,23:176-178.
[31]侯捷。深入浅出MFC(第二版)[M].武汉:华中科技大学出版社,2001.
[32]周长发.精通VisualC++图像编程「M].北京:电子工业出版社,2000.
[33]程耀瑜.工业射线实时成像检测技术研究及高性能数字成像系统研制。博士学位论文,南京理工大学,2003.
[34]韩耀旭.多线程编程之问题提出[EB/OL],www.vckbase.com.
[35]张利浩,王勇.显示位图的几种不同方法及其比较[J],图形图像处理,2006,20(4),84-86
[36]雷晓峰,王耀,邓曙光.在VC++中利用多线程实现图像采集与通信[J].微计算机信息.2002.22 (6):6-8.
[37] ReiffKJ.Flatpaneldetectorsclosingthe(digital)gapinchestandskeletalradiology[J].EuropeanJournalofRadiology,1999,31:125-131.
[38] ThePaxScan2520VVirtualCpInterface.June2006.
[39] http://www.yinghua-ndt.com/uAlex/5063-52872.aspx,2007.
[40]姚领田.精通MFC程序设计[M].北京.人民邮电出版发行.2006.
[41]曾祥照,X射线实时成像检测技术现场测评方法[J].无损探伤.2000(5):27-32.
[42]曾样照.分辨率测试卡的结构及图像分辨率测试试方法[J].无损探伤2001(5):7-9.
[43]曾祥照. X射线实时成像系统分辨率及其影响因素.无损探伤.2003,27(6):10-13.
[44] Richard Van Metter, John Yorkston. Factors Influencing Image Quality in DigitalRadiographicSystem[J].SPIE,2001,4320:244-255.
[45]陈树越,路宏年. X射线数字成像噪声特性及噪声消除方法研究[J].无损探测,2001,23(1):9-14..
[46]周正干,腾升华,江巍,安振刚X射线平板探测器数字成像及其图像校准[A].北京航空航天大学学报,2004,30(8):698-701.
[47]程耀瑜,李永红等,射线数字成像检测系统不均匀性分析与校正[J].光电工程.2005.32(5):42-45.
[48]杨巧宁,桂志国,李永利.数字射线图像的滤噪方法[J].测试技术学报,2000,第一期.
[49]孙兆林.MATLAB6.X图像处理[M].北京:清华大学出版社,2002.
[50] (美)卡斯尔曼(Csatleman,K.R.)著;朱志刚等译.数字图像处理[M].北京:电子工业出版社,2002.
[51] Pal S K, King R A. Image Enhancement Using Fuzzy Sets[J ] . ElectronLett , 1980 ,16(9):376-378..
[52] X-Ray Real-Time Imaging for Weld Inspection: II W 3nd Progress Report[J]. BritishJournalofNDT.1987,29(11):426-428.
[53]崔屹.数字图像处理技术与应用[M].电子工业出版社,1997:23-110.
[54]李弼程,郭志刚,文超.图像的多层次模糊增强与边缘提取[J].模糊系统与数学,2000,14(4):77-83.
[55]张晓光.射线检测焊缝图像中的缺陷提取及识别的研究[D].博士学位论文.上海:华东理工大学.2003.5.12.
[56]王保平,刘怀亮,李南京,谢维信.一种新的自适应图像牧户增强算法[J].西安电子科技大学学报(自然科学版).2005.32(2):307-313.
[57] V Kaftandjian , YM Zhu , G Peix et al. Automatic recongnition of defects insidealuminiumingotsbyX-rayimaging.IN2SIGHT,1996,38(9):618-625.
[58] Nacereddine Nafa, Drai Redouane. Weld defect extraction and classification inradiographic testing based artificial neural networks [A/CD]. Proceeding of 15thWCNDT,ROMA,2000.
[59]严曲,赵跃龙.一种基于迭代阈值法的身份证图像二值化算法研究[J].计算机测量与控制. 2005.13(6):595-597.
[60]李卓,郭立红.快速图像处理中阈值选取方法的比较研究[J].微计算机信息.2006.22(3):162.
[61]吴一全,朱兆达.图像处理中阈值选取方法30年(1960~1992)的进展(一).数据采集与处理.1993,8(3):193-201.
[62]全国锅炉压力容器无损检测人员资格鉴定考核委员会,编写.射线检测(试用本),1996.
[63] Kapustin A. E., Bardusova I. I. Computer technologies and X-ray flaw detection ofwelds[A/CD].Proceedingof15thWCNDT,ROMA,2000.
[64]莫锦秋,周晓军.基于模糊子集理论的无损检测缺陷模式识别[J].中国机械工程,1999,10(6):664-666.
[65]黄维通.VisualC++面向对象与可视化程序设计「M}.北京:清华大学出版社,2003.
[66]龚建伟,熊光明.Visual C++/Turbo C串口通信编程实践[M}.北京.电子工业出版社.2007.
[67] Castleman Kenneth著,朱志刚等译.数字图像处理[M].北京:电子工业出版社,1998,9.
[68]彭召意.16位位图灰度化处理方法[J].知识天地.2002,6:150-151.