咨询与建议

限定检索结果

文献类型

  • 116 篇 会议
  • 29 篇 期刊文献

馆藏范围

  • 145 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 63 篇 工学
    • 40 篇 计算机科学与技术...
    • 35 篇 软件工程
    • 26 篇 光学工程
    • 14 篇 电气工程
    • 13 篇 生物医学工程(可授...
    • 11 篇 电子科学与技术(可...
    • 7 篇 控制科学与工程
    • 6 篇 生物工程
    • 4 篇 机械工程
    • 4 篇 仪器科学与技术
    • 3 篇 信息与通信工程
    • 3 篇 建筑学
    • 3 篇 土木工程
    • 1 篇 力学(可授工学、理...
    • 1 篇 核科学与技术
  • 45 篇 理学
    • 29 篇 物理学
    • 16 篇 数学
    • 7 篇 统计学(可授理学、...
    • 6 篇 生物学
    • 2 篇 系统科学
    • 1 篇 化学
    • 1 篇 地球物理学
  • 7 篇 医学
    • 7 篇 临床医学
    • 2 篇 特种医学
    • 2 篇 医学技术(可授医学...
    • 1 篇 基础医学(可授医学...
  • 7 篇 管理学
    • 4 篇 管理科学与工程(可...
    • 3 篇 图书情报与档案管...
  • 2 篇 艺术学
    • 2 篇 设计学(可授艺术学...
  • 1 篇 法学
    • 1 篇 社会学

主题

  • 30 篇 computer vision
  • 25 篇 image segmentati...
  • 25 篇 image processing
  • 18 篇 shape
  • 13 篇 laboratories
  • 13 篇 image reconstruc...
  • 12 篇 image edge detec...
  • 12 篇 cameras
  • 10 篇 magnetic resonan...
  • 10 篇 feature extracti...
  • 9 篇 pixel
  • 8 篇 data mining
  • 8 篇 computed tomogra...
  • 8 篇 biomedical imagi...
  • 8 篇 layout
  • 7 篇 application soft...
  • 7 篇 image coding
  • 5 篇 genetic algorith...
  • 5 篇 equations
  • 5 篇 training

机构

  • 13 篇 computer vision ...
  • 6 篇 computer vision ...
  • 5 篇 electrical engin...
  • 4 篇 computer vision ...
  • 4 篇 electrical engin...
  • 4 篇 ihu strasbourg s...
  • 4 篇 heidelberg
  • 4 篇 school of electr...
  • 3 篇 university of pe...
  • 3 篇 department of co...
  • 3 篇 vector institute...
  • 3 篇 computer vision ...
  • 3 篇 erlangen-nürnber...
  • 3 篇 radboud institut...
  • 3 篇 department of bi...
  • 3 篇 computer vision ...
  • 3 篇 engineering math...
  • 3 篇 centre for medic...
  • 3 篇 general robotics...
  • 3 篇 department of di...

作者

  • 21 篇 e.j. delp
  • 13 篇 a.a. farag
  • 12 篇 aly a. farag
  • 9 篇 rajagopalan a.n.
  • 8 篇 farag aly a.
  • 5 篇 u.u. sheikh
  • 5 篇 delp ej
  • 4 篇 a.n. rajagopalan
  • 4 篇 haase robert
  • 4 篇 bakas spyridon
  • 4 篇 glocker ben
  • 4 篇 reyes mauricio
  • 4 篇 s.m. yamany
  • 3 篇 kreshuk anna
  • 3 篇 rajpoot nasir
  • 3 篇 kozubek michal
  • 3 篇 g.w. cook
  • 3 篇 karthikesalingam...
  • 3 篇 galdran adrian
  • 3 篇 reinke annika

语言

  • 140 篇 英文
  • 3 篇 其他
  • 2 篇 中文
检索条件"机构=Computer Vision and Image Processing LabDepartment of Electrical and Computer Engineering"
145 条 记 录,以下是21-30 订阅
排序:
Deskewing by space-variant deblurring  27
Deskewing by space-variant deblurring
收藏 引用
27th British Machine vision Conference, BMVC 2016
作者: Seemakurthy, Karthik Vasu, Subeesh Rajagopalan, A.N. Image Processing and Computer Vision Lab Department of Electrical Engineering IIT Madras Chennai India
Skew and motion blur are significant challenges when camera and scene of interest are in two different media. Skew occurs due to spatially varying refraction on a dynamic water surface, whereas motion blur results fro... 详细信息
来源: 评论
Edgy salient local binary patterns in inter-plane relationship for image retrieval in Diabetic Retinopathy
收藏 引用
Procedia computer Science 2017年 115卷 440-447页
作者: Gajanan M. Galshetwar Laxman M. Waghmare Anil B. Gonde Subrahmanyam Murala Center of Excellence in Signal and Image Processing (COESIP) Department of ECE SGGSIET Nanded Maharashtra 431606 India Computer Vision and Pattern Recognition Laboratory Department of Electrical Engineering IIT Ropar Rupnagar 140001 India
In this paper, a novel approach for content based image retrieval (CBIR) in diabetic retinopathy (DR) is proposed. The concept of salient point selection and inter-plane relationship technique is used. Salient points ... 详细信息
来源: 评论
Stereo matching algorithm based on the combination of matching costs  7
Stereo matching algorithm based on the combination of matchi...
收藏 引用
7th IEEE Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2017
作者: Ende, Wang Yalong, Zhu Liangyu, Peng Yijun, Li Tianyao, Wu Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Key Laboratory of Opto-Electronic Information Processing CAS Shenyang110016 China Key Lab of Image Understanding and Computer Vision Liaoning Province Shenyang110016 China College of Electrical Engineering Yanshan University Qinhuangdao066004 China School of Metallurgy Northeastern University Shenyang110819 China
Aiming at solving the problem of low accuracy of weak texture region and disparity discontinuous region and sensitivity to illumination caused by existing local stereo matching algorithm, a new stereo matching algorit... 详细信息
来源: 评论
Author Correction: Why rankings of biomedical image analysis competitions should be interpreted with care
收藏 引用
Nature communications 2019年 第1期10卷 588页
作者: Lena Maier-Hein Matthias Eisenmann Annika Reinke Sinan Onogur Marko Stankovic Patrick Scholz Tal Arbel Hrvoje Bogunovic Andrew P Bradley Aaron Carass Carolin Feldmann Alejandro F Frangi Peter M Full Bram van Ginneken Allan Hanbury Katrin Honauer Michal Kozubek Bennett A Landman Keno März Oskar Maier Klaus Maier-Hein Bjoern H Menze Henning Müller Peter F Neher Wiro Niessen Nasir Rajpoot Gregory C Sharp Korsuk Sirinukunwattana Stefanie Speidel Christian Stock Danail Stoyanov Abdel Aziz Taha Fons van der Sommen Ching-Wei Wang Marc-André Weber Guoyan Zheng Pierre Jannin Annette Kopp-Schneider Division of Computer Assisted Medical Interventions (CAMI) German Cancer Research Center (DKFZ) 69120 Heidelberg Germany. l.maier-hein@dkfz.de. Division of Computer Assisted Medical Interventions (CAMI) German Cancer Research Center (DKFZ) 69120 Heidelberg Germany. Centre for Intelligent Machines McGill University Montreal QC H3A0G4 Canada. Christian Doppler Laboratory for Ophthalmic Image Analysis Department of Ophthalmology Medical University Vienna 1090 Vienna Austria. Science and Engineering Faculty Queensland University of Technology Brisbane QLD 4001 Australia. Department of Electrical and Computer Engineering Department of Computer Science Johns Hopkins University Baltimore MD 21218 USA. CISTIB - Center for Computational Imaging & Simulation Technologies in Biomedicine The University of Leeds Leeds Yorkshire LS2 9JT UK. Department of Radiology and Nuclear Medicine Medical Image Analysis Radboud University Center 6525 GA Nijmegen The Netherlands. Institute of Information Systems Engineering TU Wien 1040 Vienna Austria. Complexity Science Hub Vienna 1080 Vienna Austria. Heidelberg Collaboratory for Image Processing (HCI Heidelberg University 69120 Heidelberg Germany. Centre for Biomedical Image Analysis Masaryk University 60200 Brno Czech Republic. Electrical Engineering Vanderbilt University Nashville TN 37235-1679 USA. Institute of Medical Informatics Universität zu Lübeck 23562 Lübeck Germany. Division of Medical Image Computing (MIC) German Cancer Research Center (DKFZ) 69120 Heidelberg Germany. Institute for Advanced Studies Department of Informatics Technical University of Munich 80333 Munich Germany. Information System Institute HES-SO Sierre 3960 Switzerland. Departments of Radiology Nuclear Medicine and Medical Informatics Erasmus MC 3015 GD Rotterdam The Netherlands. Department of Computer Science University of Warwick Coventry CV4 7AL UK. Department of Radiation Oncology Massachusetts General Hospital Boston MA
In the original version of this Article the values in the rightmost column of Table 1 were inadvertently shifted relative to the other columns. This has now been corrected in the PDF and HTML versions of the Article.
来源: 评论
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
arXiv
收藏 引用
arXiv 2018年
作者: Bakas, Spyridon Reyes, Mauricio Jakab, Andras Bauer, Stefan Rempfler, Markus Crimi, Alessandro Shinohara, Russell Takeshi Berger, Christoph Ha, Sung Min Rozycki, Martin Prastawa, Marcel Alberts, Esther Lipkova, Jana Freymann, John Kirby, Justin Bilello, Michel Fathallah-Shaykh, Hassan M. Wiest, Roland Kirschke, Jan Wiestler, Benedikt Colen, Rivka Kotrotsou, Aikaterini Lamontagne, Pamela Marcus, Daniel Milchenko, Mikhail Nazeri, Arash Weber, Marc-Andr Mahajan, Abhishek Baid, Ujjwal Gerstner, Elizabeth Kwon, Dongjin Acharya, Gagan Agarwal, Manu Alam, Mahbubul Albiol, Alberto Albiol, Antonio Albiol, Francisco J. Alex, Varghese Allinson, Nigel Amorim, Pedro H.A. Amrutkar, Abhijit Anand, Ganesh Andermatt, Simon Arbel, Tal Arbelaez, Pablo Avery, Aaron Azmat, Muneeza Pranjal, B. Bai, Wenjia Banerjee, Subhashis Barth, Bill Batchelder, Thomas Batmanghelich, Kayhan Battistella, Enzo Beers, Andrew Belyaev, Mikhail Bendszus, Martin Benson, Eze Bernal, Jose Bharath, Halandur Nagaraja Biros, George Bisdas, Sotirios Brown, James Cabezas, Mariano Cao, Shilei Cardoso, Jorge M. Carver, Eric N. Casamitjana, Adri Castillo, Laura Silvana Cat, Marcel Cattin, Philippe Cérigues, Albert Chagas, Vinicius S. Chandra, Siddhartha Chang, Yi-Ju Chang, Shiyu Chang, Ken Chazalon, Joseph Chen, Shengcong Chen, Wei Chen, Jefferson W. Chen, Zhaolin Cheng, Kun Choudhury, Ahana Roy Chylla, Roger Clrigues, Albert Colleman, Steven Colmeiro, Ramiro German Rodriguez Combalia, Marc Costa, Anthony Cui, Xiaomeng Dai, Zhenzhen Dai, Lutao Daza, Laura Alexandra Deutsch, Eric Ding, Changxing Dong, Chao Dong, Shidu Dudzik, Wojciech Eaton-Rosen, Zach Egan, Gary Escudero, Guilherme Estienne, Tho Everson, Richard Fabrizio, Jonathan Fan, Yong Fang, Longwei Feng, Xue Ferrante, Enzo Fidon, Lucas Fischer, Martin French, Andrew P. Fridman, Naomi Fu, Huan Fuentes, David Gao, Yaozong Gates, Evan Gering, David Gholami, Amir Gierke, Willi Glocker, Ben Gong, Mingming Gonzlez-Vill, Sandra Grosges, T. Guan, Yuanfang Guo, Sheng Gupta, Sudeep Han, Woo-Sup Han, Il Song Harmuth, Ko Center for Biomedical Image Computing and Analytics University of Pennsylvania PhiladelphiaPA United States Department of Radiology Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Department of Pathology and Laboratory Medicine Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Institute for Surgical Technology and Biomechanics University of Bern Bern Switzerland Center for MR-Research University Children's Hospital Zurich Zurich Switzerland Support Centre for Advanced Neuroimaging Inselspital Institute for Diagnostic and Interventional Neuroradiology Bern University Hospital Bern Switzerland University Hospital of Zurich Zurich Switzerland Center for Clinical Epidemiology and Biostatistics University of Pennsylvania Philadelphia United States Image-Based Biomedical Modeling Group Technical University of Munich Munich Germany Icahn School of Medicine Mount Sinai Health System New YorkNY United States Leidos Biomedical Research Inc. Frederick National Laboratory for Cancer Research FrederickMD21701 United States Cancer Imaging Program National Cancer Institute National Institutes of Health BethesdaMD20814 United States Department of Neurology University of Alabama at Birmingham BirminghamAL United States Department of Diagnostic Radiology University of Texas MD Anderson Cancer Center HoustonTX United States Department of Psychology Washington University St. LouisMO United States Neuroimaging Informatics and Analysis Center Washington University St. LouisMO United States Department of Radiology Washington University St. LouisMO United States Institute of Diagnostic and Interventional Radiology Pediatric Radiology and Neuroradiology University Medical Center Rostock Ernst-Heydemann-Str. 6 Rostock18057 Germany Tata Memorial Centre Homi Bhabha National Institute Mumbai India Shri Guru Gobind Singhji Institute of Engineering and Technology Nanded India NVIDIA Santa Clara
Gliomas are the most common primary brain malignancies, with different degrees of aggressiveness, variable prognosis and various heterogeneous histologic sub-regions, i.e., peritumoral edematous/invaded tissue, necrot... 详细信息
来源: 评论
Offline Handwritten Arabic Character Recognition Using Features Extracted from Curvelet and Spatial Domains
收藏 引用
Research Journal of Applied Sciences, engineering and Technology 2015年 第2期11卷 158-164页
作者: Mazen Abdullah Bahashwan Syed Abd Rahman Abu-Bakar Computer Vision Video and Image Processing Research Lab (CvviP) Department of Electronics and Computer Engineering Faculty of Electrical Engineering Universiti Teknologi Malaysia Johor Malaysia
Arabic character recognition is a challenging problem in several artificial intelligence applications, especially when recognizing connected cursive letters. Another dimension of complexity is that Arabic characters m... 详细信息
来源: 评论
Prediction of Soluble Solid Content of Starfruit Using Spectral Imaging Combined with Partial Least Squares and Support Vector Regression
Prediction of Soluble Solid Content of Starfruit Using Spect...
收藏 引用
IEEE International Conference on Signal and image processing Applications
作者: Feri Candra Syed Abd. Rahman Abu-Bakar Computer Vision Video and Image Processing Research Lab Electronics and Computer Engineering Department Faculty of Electrical Engineering Universiti Teknologi Malaysia 81310 Johor Bahru Malaysia
Spectral imaging technique such as hyperspectral and multispectral imaging is a combination of imaging and spectroscopy. This powerful technique can provide samples of spectral images, which can be used to analyze a n... 详细信息
来源: 评论
Development of young oil palm tree recognition using Haar- based rectangular windows
收藏 引用
IOP Conference Series: Earth and Environmental Science 2016年 第1期37卷
作者: S Daliman S A R Abu-Bakar S H Md Nor Azam Computer Vision Video and Image Processing (CvviP) Research Lab Department of Electronics and Computer Engineering Faculty of Electrical Engineering Universiti Teknologi Malaysia 81310 Skudai Johor MALAYSIA. Sime Darby Research Sdn. Bhd. Jalan Pulau Carey 42960 Pulau Carey Selangor MALAYSIA.
This paper presents development of Haar-based rectangular windows for recognition of young oil palm tree based on WorldView-2 imagery data. Haar-based rectangular windows or also known as Haar-like rectangular feature...
来源: 评论
DeWAFF: A novel image abstraction approach to improve the performance of a cell tracking system
DeWAFF: A novel image abstraction approach to improve the pe...
收藏 引用
International Work Conference on Bio-inspired Intelligence (IWOBI)
作者: S. Calderón A. Sáenz R. Mora F. Siles I. Orozco M.E. Buemi Department of Electrical Engineering School of Engineering Cancer-Lab Universidad de Costa Rica San José Costa Rica Image Processing and Computer Vision Group Universidad de Buenos Aires Buenos Aires Argentina
This paper presents a new image abstraction approach, aiming to improve typical image related pattern recognition tasks such as segmentation, tracking, and classification. The proposed image abstraction framework perf... 详细信息
来源: 评论
2D-PCA shape models: Application to 3D reconstruction of the human teeth from a single image
2D-PCA shape models: Application to 3D reconstruction of the...
收藏 引用
3rd International MICCAI Workshop on Medical computer vision, MCV 2013
作者: Abdelrehim, Aly S. Farag, Aly A. Shalaby, Ahmed M. El-Melegy, Moumen T. Computer Vision and Image Processing Laboratory University of Louisville Louisville KY 40292 United States Electrical Engineering Department Assiut University Assiut 71516 Egypt
Accurate modeling of human teeth is mandatory for many reasons. Some of them are (1) Providing comfort to patients during mold process, and (2) Enhancing the accuracy level for oral orthodontist and dental care person... 详细信息
来源: 评论