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图像处理 学院首页 引导页 > 组织机构 > 图像处理中心

1.图像处理中心概况

北京航空航天大学宇航学院图像处理中心(Image Processing Center of Beihang University)成立于1984年,承担“飞行器控制与信息工程”本科专业、以及模式识别与智能系统学科硕士与博士研究生的教学工作,包括留学生的硕士、博士培养工作,是国家级重点学科"控制科学与工程"的承载单位之一,主要从事图像处理、模式识别与智能系统相关的理论和应用研究,在国内航空航天和国防应用领域具有重要影响,在国外相关领域也具有一定的知名度。秉承北航“德才兼备、知行合一”的校训,为创建科技创新型国家培养两领人才,培养的本科生60%以上进入研究生继续深造,毕业的硕士、博士研究生70%以上服务于航空航天及国防应用部门。

在国家211和985等学科建设项目的支持下,建设了“图像处理与识别教学综合实验室”,目前是“数字媒体北京市重点实验室”支撑单位之一,与香港Motic集团联合建立了“北航-Motic图像技术研发中心”、与美国William Beaumont Hospital建立“自适应放射治疗技术研究中心”,与美国匹兹堡大学、英国诺丁汉大学、澳大利亚联邦科工数学与系统所构建了硕士、博士研究生联合培养平台,为本科生教学和研究生培养提供了良好的教学和实践环境。

2.学科建设

宇航学院图像处理中心承载北京航空航天大学国家重点学科“控制科学与工程”下属二级学科“模式识别与智能系统”的学科建设任务。在国家211学科建设、985教学条件建设以及北京市重点实验室建设项目的支持下,为适应我国国防战略发展需要,结合宇航学院航天及国防背景,重点建设了空间信息处理、精确制导、成像探测等技术研究平台,包括:

(1)多模遥感成像与识别数据库系统;(2)可见光与红外双模实时目标探测跟踪系统;(3)基于视觉的航天器姿态跟踪系统;(4)火箭导引头-信息处理系统设计与实验平台;(5)天基目标成像、仿真及分析处理平台;(6)目标可见光红外特性分析平台;(7)光谱成像实物仿真平台;(8)面向空间任务的计算机视觉与智能系统技术研究平台;(9)显微成像及图像处理研究平台;(10)空间目标仿真成像实验演示平台。在此基础上建成了“图像处理与识别教学综合实验室”和“数字媒体北京市重点实验室”。通过学科建设,显著增强了单位的教学、科学研究实力,为加快推进北航“空天信医”融合特色的世界一流大学建设打下坚实的基础。

3.师资队伍

图像处理中心现有固定教师18人,具有不同的教育和学科背景,学科交叉是师资队伍的显著特点,其中教授博导6人,副教授8人(含副教授博导1人),讲师3人,实验室管理人员1人,博士后4人,所有教师全部具有博士学位。教师团队中拥有新世纪优秀人才2人,全国博士论文百优提名奖1人,首届航空宇航科学与技术学科全国优秀博士学位论文1人,北航蓝天教学新星、蓝天科研新星和蓝天管理新星共4人,蓝天新秀4人,优秀博士后1人。图像处理中心是一支由年富力强、和谐团结的中青年教师组成的教学科研团队,形成了教授牵头、青年教师为主的具有活力的学术梯队。

4.教学工作

图像处理中心承载着“模式识别与智能系统”学科硕士、博士和留学生的培养任务,承担“飞行器控制与信息工程”本科专业的教学工作。单位年均招收本科生35人,硕士、博士研究生(包括留学生)35人。

培养的博士研究生获全国百篇优秀博士论文提名奖1人、首届航空宇航科学与技术学科全国优秀博士学位论文1人。目前为本科生开设了《数字信号处理》、《数字图像处理》、《模式识别》、《目标探测与识别》、《航天信息智能处理系统及应用》、《数据结构》、《计算机视觉》、《遥感技术基础》等15门专业课程;为研究生开设了《数字图像处理》、《模式识别》、《数字视频处理》、《计算智能》、《机器学习》等6门课程;为留学生开设了5门课程。其中《数字图像处理》、《模式识别》和《数字信号处理》为北京航空航天大学精品建设课程。

5.科研工作

图像处理中心一贯注重信息技术和航空、航天技术的融合,注重应用基础理论和应用技术研究,注重与工业部门的合作,走“产、学、研”相结合的发展道路。

在应用基础理论研究方面,近五年来,主持国家自然科学基金18项,其他国家级项目12项,省部级基金9项,发表高水平SCI(E)研究论文超过200篇,其中在本学科顶级国际刊物杂志(IEEE Transactions on Pattern Analysis and Machine Intelligence、IEEE Transactions on Image Processing、IEEE Transactions on Geoscience Remote Sensing、Pattern Recognition、Optics Express、IEEE Transaction on Medical Imaging等)和国际顶级会议(IEEE Conference on Computer Vision and Pattern Recognition等)上发表论文30余篇,出版图书4部。

在应用技术研究方面,得到总装预研、总装863和国家863、国家科技支撑计划、国家重点研发计划等项目的支持,获得部级科技成果奖4项,在图像模式识别与智能控制技术、多传感图像信息提取与融合技术、生物医学影像处理及识别技术等领域形成自己独特的技术优势。通过与应用部门合作,研制成功装备产品4项,且均已投入部队使用;研制医学临床应用产品6项,获得国家医疗器械注册许可证5项,在解放军总医院、北京协和医院、北京大学第三医院、北京大学口腔医院、中山大学肿瘤医院、中山大学第一附属医院等国内大型医院得到应用,用户累计超过600家。

1 Introduction

Image Processing Center (abbr.IPC) of Beihang University was established in 1984. It instructs the undergraduates in the major ofSpacecraft Control and Information Engineeringand postgraduates and doctors in the major ofPattern Recognition and Intelligent System. The graduate and doctoral education for the foreign students is undertaken as well. Image Processing Center is one of the supporting units of the national key discipline,control science and engineering. The center is mainlyengagedinthe research of theory and application aboutimage processing, pattern recognition and intelligent system, and play important role in the field of domestic aerospace research and national defense applications, which bring us an international reputation. Keeping in mind the Beihang motto, ‘Unite Virtue with Brilliance, Combine Knowledge and Practice’, IPC contribute to cultivate the scientific and technological talents for national innovation. More than 60% of the undergraduate students continue their postgraduate study and more than 70% Masters and Doctors work in the aerospace and national defense applications department.

Under the support of 211, 985, and Bi-World-Class(World-class universities and world-class disciplines) construction projects, IPC has set up ‘the Laboratory for Comprehensive Teaching of Image Processing and Recognition’, branch of ‘Beijing Digital Media Key Laboratory’, ‘Beihang-Motic Image Technology Research and Development Center’ which is jointly supported by Motic Group in Hongkong, and ‘Adaptive Radiation Therapy Technology Research Center’ in cooperation with American William Beaumont Hospital. IPC provides a joint training platform for graduate and doctor students, and provides a good teaching and practice environment for undergraduate and postgraduate students together with Pittsburgh University, Nottingham University and Australian Federal Science and Industry Mathematics and System Institution.

2 Discipline Development

IPC undertakes the responsibility to develop the discipline ofPattern Recognition & Intelligent System, which is a sub-discipline of the national key discipline,Control Science and Engineering,inBeihang University. Under the support of national “211 Project” and “985 Project”, and the grant for developing key laboratory of Beijing, to fulfill the requirements of developing astronautics and national defense, we have built some technique research platforms with respect to space information processing, precise guidance and exploration by imaging. Specifically, we have achieved:

1) A database system of multimodality remote sensing and recognition. 2) A real-time tracking system using visible and infrared images. 3) Vision based pose tracking system for spacecraft. 4) A platform of designing and testing information processing system for rockets seeker. 5) A platform for simulating and analyzing objects captured by an outer space located camera. 6) An analysis platform for the visible light and infrared characteristics of object. 7) A simulation platform for spectrum imaging. 8) A research platform with respect to computer vision and intelligent system for space tasks. 9) Microscopy imaging and image processing & research platform. 10) A simulation platform for imaging space objects. Based on the above platforms, we established the Laboratory for Comprehensive Teaching of Image Processing and Recognition, and Digital Media Key Laboratory of Beijing. By developing the disciplines, our ability in teaching and scientific research has improved significantly, which laid a solid foundation to help Beihang University to achieve aworld-class universitywithmulti-disciplineof ‘AeroSpace, Information, and Medcine’.

3 Staff

There are 18 staff in IPC now, including 6 professors(PhD supervisors), 8 associate professors(one PhD supervisor), 3 lectures, and one lab administrator. All the staff have Ph.D degrees in different education backgrounds and specialty. Interdisciplinary is the notable feature of our staff. Among the academic staff, there are 2 ‘New Century Excellent Talents’, one ‘Nominee Award for National 100 Excellent PhD Thesis’, one ‘Excellent PhD thesis award of The First Aeronautics and Astronautics Science and Technology’, 4 ‘Blue-Sky Young Talented’, 4 ‘Blue-Sky Young Stars’ in teaching, academic and administration, respectively , and one BUAA Excellent Post-doctoral. IPC is an active academic staff with young teachers as major part and headed by professors.

4 Teaching

IPC is responsible for the teaching of ‘Spacecraft Control and Information Engineering’specialty for undergraduate, and ’Pattern Recognition and Intelligence System’ for graduate students. Annually, there are about 35 undergraduate students and 35 postgraduate (including PhD students and foreign students).

Among doctoral students, there are one ‘Nominee for National 100 excellent PhD Thesis Award’ and one Excellent PhD thesis award of The First Aeronautics and Astronautics Science and Technology. At present, we teach 15 courses for undergraduate students, which mainly include Digital signal processing, foundations in digital image processing, foundations in pattern recognition, foundations in video processing, foundations in remote sensing, image based detection tracking and recognition. We also give 6 courses for postgraduate students, such as digital image processing, pattern recognition, machine learning, etc. For foreign graduate students, we deliver 5 courses. Especially, three courses have been the excellent courses in BUAA, which are digital image processing, pattern recognition and digital signal processing.

5 Science Research

IPC has always focused on the integration of information technology, aviation technology and aerospace technology, paid close attention to research on the application of basic theory and technology, highlighted cooperation with the industrial sector in the direction of combination of "production, study and research".

In the application of basic theoretical research, there are 20 NSFC projects, 12 other national projects and 9 provincial or ministerial funds researches conducted in IPC in the last five years. More than 200 high quality SCI (E) papers have been published. Over 30 papers have been published on top global magazine (IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing, IEEE Transactions on Geoscience Remote Sensing, Pattern Recognition, Optics Express, IEEE Transaction on Medical Imaging) and top global conferences (IEEE Conference on Computer Vision and Pattern Recognition), in addition, 4 books have been published.

In the research on technology application, researches are supported by General Armament Department Pre-research projects, General Armament Department 863 projects, National High Technology 863 Projects, and National Key R&D Program of China. 4 ministerial scientific and technological achievement awards has been awarded. We have achieved unique technical advantages in image pattern recognition and intelligent control technology, multi-sensor image information extraction and integration of technology, the field of biomedical image processing and recognition technology. Through the cooperation of application units, 4 devices have been successful developed and equipped into the Army Forces. 5 national medical device registration permits have been acquired and 6 medical products have been developed and used into clinical application. The users have exceeded 600 hospitals, including large hospitals such as the People's Liberation Army General Hospital, Beijing Union Medical College Hospital, Peking University Third Hospital of Peking University Stomatological Hospital, Sun Yat-sen University Cancer Hospital, Sun Yat-sen University First Affiliated Hospital.  

2)、应用成果及产品

 

 

 

 

与中国电子科技集团第三研究所合作,研制的光电侦察系统,具备双模目标探测、实时目标检测跟踪、实时图像压缩存储、网络组播等功能,并在XXX多型技侦系统中得到应用。

 

 

 

 

与中国电子科技集团第三研究所合作,研制的光电导引系统,突破全视场实时目标检测、跟踪的技术瓶颈,得到应用部门的认可。

 

 

 

 

与海军装备部信息技术研究所合作,研制成功国内首台航空胶片高速、高精度扫描仪,在扫描精度相同的情况下,速度是国外同类产品的近20倍,已装备部队使用。

 

 

 

 

在中国科学院创新工程项目的支持下,与中科院(苏州)生物医学工程技术研究所合作,研制成功国内首台基于大型C型臂的实时三维成像系统原型机,达到40°/秒高速旋转成像速度,并在2010年深圳高交会上展出。

神经外科放射性粒子植入治疗系统,利用高精度立体定向装置和图像引导技术,引导放射性粒子植入到颅内肿瘤内部,实现对颅内肿瘤的高精度、高剂量内放射治疗,在海军总医院等多家三级甲等医院得到应用。

 

 

 

 

前列腺放射性粒子植入治疗系统,在实时B超图像引导下,通过立体定向植入装置,将放射性粒子植入到前列腺肿瘤内部,实现对前列腺肿瘤的高精度、高剂量内放射治疗,在解放军总医院、北京大学第三医院等多家三级甲等医院得到应用。

 

 

 

 

 

 

 

 

在国家863计划重点项目支持下,与北航机器人研究所联合研发的远程急救手术系统,首次在"和平方舟"医院船应用,并获得中央电视台、解放军报、新浪网等众多媒体报道。

 

 

 

 

自主研制的显微成像及图像处理系统平台,该产品遍及全国31个省市,深受医院病理、血液、遗传等多学科好评。

 

 

 

 

与解放军空军总医院合作,研制出国内首个皮肤图像分析诊断系统平台,并在空军总医院临床应用。

 

 

 

 

自主研发的目标检测、跟踪与识别系统平台,该系统可以在地面开展空间目标、空中目标、地面移动目标的捕获、跟踪与识别实验,也可以模拟多种目标跟踪过程中的成像效果,用于分析图像降质原因和图像复原,从而实现对天基、空基、地基等多类感兴趣目标图像的成像特性分析、复原、检测、跟踪与识别。

 

 

 

 

与某科研机构合作研发的地物目标自动识别系统,该系统具备对机场、油库、桥梁、建筑物等典型地物目标快速、准确的定位识别功能,并取得了较好的前期应用效果。

 

 

 

 

与某公司合作开发了一套面向安防的大视场视频图像监控系统,该产品在上海第七届公共安全博览会中展出,受到了广泛关注,该系统可以实现多通道视频图像的自动无缝拼接、电子稳像以及可疑目标的检测与跟踪。



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