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第6期 邵欣,等:基于EMD和模极大值的造影图像血管提取 .857. 吉林大学,2010. [12]钟佑明,赵强,周建庭.实时经验模态分解的实现方法 KANG Wenwei.The segmentation methods of coronary an- [J].振动、测试与诊断,2012,32(1):68-72. giogram images[D].Changchun,China:Jilin University, ZHONG Youming,ZHAO Qiang,ZHOU Jianting.Appli- 2010. cation of residual-based cumulative sum control charts for [9]周寿军,杨俊,陈武凡,等.一种从X射线血管造影图 detecting faults in autocorrelated processes[].Journal of 像中自动分割冠状动脉的新方法[J].中国科学E辑: Vibration,Measurement Diagnosis,2012,32(1):68- 信息科学,2007,37(12):1531-1543. 72. ZHOU Shoujun,YANG Jun,CHEN Wufan,et al.New ap- [13]林玉荣,王强.基于一维经验模态分解的图像细节提取 proach to the automatic segmentation of coronary artery in X- 方法[J].吉林大学学报:工学版,2011,41(6):1766- ray angiograms[].Science in China Series F:Information 1770. Sciences,2008,51(1):25-39. LIN Yurong,WANG Qiang.Extracting details from images [10]SHIH M Y,TSENG D C.A wavelet-based multiresolution based on 1-DEMD[J].Journal of Jilin University:Engi- edge detection and tracking[J].Image and Vision Compu- neering and Technology Edition,2011,41(6):1766- ting,2005,23(4):441-451. 1770. [11]贾桂锋,袁胜发,唐成文.基于高阶导数改进的经验模态 [14]HARIHARAN H,KOSCHAN A,ABIDI B,et al.Fusion 分解算法[J刀.数据采集与处理,2012,27(1):117-120. of visible and infrared images using empirical mode decom- JIA Guifeng,YUAN Shengfa,TANG Chengwen.Modified position to improve face recognition[C]//Proceedings of empirical mode decomposition algorithm based on higher IEEE International Conference on Image Processing.Atlan- derivative[J].Journal of Data Acquisition Processing, ta,GA:EEE,2006:2049-2052. 2012,27(1):117-120. 2016年先进云与大数据国际会议 The 2016 International Conference on Advanced Cloud and Big Data CBD2016) The 2016 is an International Conference on Advanced Cloud and Big Data.It provides an international forum for pres- enting and discussing emerging ideas and trends in advanced cloud and big data from both the research community as well as the industry.It permits researchers,developers,and providers from academia and industry to address the challenges and discuss their new ideas,research results,applications,and experience in the big data.CBD aims to improve interna- tional communication and cooperation and to promote big data processing. Topics of particular interest include,but are not limited to: 1)Fundamentals,Models and Algorithms: Cloud Data Security and Privacy;Big Data Acquisition and Integration;Cloud Resource Management and Perform- ance;Big Data Processing(Analytics,Querying,Mining);Cloud Data Management;Big Data Storage and Management; Storage Architecture of Cloud;Big Data Graph algorithms;Green Cloud;Personal Data Protection and Usage;Networking Technologies for Data Center;Algorithms for Enhancing Data Quality;Virtualization Technologies. 2)Design Methodologies and Tools: Cloud Computing Platforms;Big Data Platforms;Cloud Computing Specifications and Standards;Big Data Toolkits; Big Data As A Service 3)Applications and Interdisciplinary Topics: Cloud Computing Solutions;Big Data in Enterprise Models and Practices;Mobile Cloud Computing Applications;Big Data Analytics in e-Government and Society;Big Data in Business Performance Management;Big Data Applications in So- cial Credit System In addition to research papers,CBD2016 also seeks exhibitions of modern products and equipment for computer sci- ence and information engineering. website:http://cbd2016.scu.edu.cn/index.html吉林大学, 2010. KANG Wenwei. The segmentation methods of coronary an⁃ giogram images[D]. Changchun, China: Jilin University, 2010. [9]周寿军, 杨俊, 陈武凡, 等. 一种从 X 射线血管造影图 像中自动分割冠状动脉的新方法[ J]. 中国科学 E 辑: 信息科学, 2007, 37(12): 1531⁃1543. ZHOU Shoujun, YANG Jun, CHEN Wufan, et al. New ap⁃ proach to the automatic segmentation of coronary artery in X⁃ ray angiograms[J]. Science in China Series F: Information Sciences, 2008, 51(1): 25⁃39. [10]SHIH M Y, TSENG D C. A wavelet⁃based multiresolution edge detection and tracking[J]. Image and Vision Compu⁃ ting, 2005, 23(4): 441⁃451. [11]贾桂锋, 袁胜发, 唐成文. 基于高阶导数改进的经验模态 分解算法[J]. 数据采集与处理, 2012, 27(1): 117⁃120. JIA Guifeng, YUAN Shengfa, TANG Chengwen. Modified empirical mode decomposition algorithm based on higher derivative[ J]. Journal of Data Acquisition & Processing, 2012, 27(1): 117⁃120. [12]钟佑明, 赵强, 周建庭. 实时经验模态分解的实现方法 [J]. 振动、测试与诊断, 2012, 32(1): 68⁃72. ZHONG Youming, ZHAO Qiang, ZHOU Jianting. Appli⁃ cation of residual⁃based cumulative sum control charts for detecting faults in autocorrelated processes[ J]. Journal of Vibration, Measurement & Diagnosis, 2012, 32(1): 68⁃ 72. [13]林玉荣, 王强. 基于一维经验模态分解的图像细节提取 方法[J]. 吉林大学学报:工学版, 2011, 41(6): 1766⁃ 1770. LIN Yurong, WANG Qiang. Extracting details from images based on 1⁃DEMD[ J]. Journal of Jilin University: Engi⁃ neering and Technology Edition, 2011, 41 ( 6 ): 1766⁃ 1770. [14]HARIHARAN H, KOSCHAN A, ABIDI B, et al. Fusion of visible and infrared images using empirical mode decom⁃ position to improve face recognition [ C] / / Proceedings of IEEE International Conference on Image Processing. Atlan⁃ ta, GA: IEEE, 2006: 2049⁃2052. 2016 年先进云与大数据国际会议 The 2016 International Conference on Advanced Cloud and Big Data ( CBD2016) The 2016 is an International Conference on Advanced Cloud and Big Data. It provides an international forum for pres⁃ enting and discussing emerging ideas and trends in advanced cloud and big data from both the research community as well as the industry. It permits researchers, developers, and providers from academia and industry to address the challenges and discuss their new ideas, research results, applications, and experience in the big data. CBD aims to improve interna⁃ tional communication and cooperation and to promote big data processing. Topics of particular interest include, but are not limited to: 1)Fundamentals, Models and Algorithms: Cloud Data Security and Privacy; Big Data Acquisition and Integration; Cloud Resource Management and Perform⁃ ance; Big Data Processing (Analytics, Querying, Mining); Cloud Data Management; Big Data Storage and Management; Storage Architecture of Cloud; Big Data Graph algorithms; Green Cloud; Personal Data Protection and Usage; Networking Technologies for Data Center; Algorithms for Enhancing Data Quality; Virtualization Technologies. 2)Design Methodologies and Tools: Cloud Computing Platforms;Big Data Platforms; Cloud Computing Specifications and Standards;Big Data Toolkits; Big Data As A Service 3)Applications and Interdisciplinary Topics: Cloud Computing Solutions;Big Data in Enterprise Models and Practices; Mobile Cloud Computing Applications;Big Data Analytics in e⁃Government and Society; Big Data in Business Performance Management;Big Data Applications in So⁃ cial Credit System In addition to research papers, CBD2016 also seeks exhibitions of modern products and equipment for computer sci⁃ ence and information engineering. website:http: / / cbd2016.scu.edu.cn / index.html 第 6 期 邵欣,等:基于 EMD 和模极大值的造影图像血管提取 ·857·
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