咨询与建议

限定检索结果

文献类型

  • 190 篇 会议
  • 107 篇 期刊文献
  • 4 册 图书

馆藏范围

  • 301 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 211 篇 工学
    • 133 篇 计算机科学与技术...
    • 117 篇 软件工程
    • 47 篇 光学工程
    • 43 篇 生物医学工程(可授...
    • 42 篇 信息与通信工程
    • 40 篇 控制科学与工程
    • 29 篇 生物工程
    • 25 篇 电子科学与技术(可...
    • 24 篇 电气工程
    • 20 篇 机械工程
    • 18 篇 仪器科学与技术
    • 9 篇 化学工程与技术
    • 6 篇 力学(可授工学、理...
    • 4 篇 材料科学与工程(可...
    • 4 篇 交通运输工程
    • 4 篇 核科学与技术
  • 120 篇 理学
    • 74 篇 数学
    • 44 篇 物理学
    • 36 篇 生物学
    • 24 篇 统计学(可授理学、...
    • 11 篇 系统科学
    • 10 篇 化学
  • 41 篇 管理学
    • 23 篇 图书情报与档案管...
    • 19 篇 管理科学与工程(可...
    • 4 篇 工商管理
  • 21 篇 医学
    • 18 篇 临床医学
    • 17 篇 基础医学(可授医学...
    • 14 篇 药学(可授医学、理...
    • 6 篇 公共卫生与预防医...
  • 6 篇 艺术学
    • 6 篇 设计学(可授艺术学...
  • 3 篇 教育学
  • 3 篇 农学
  • 2 篇 法学
  • 1 篇 哲学
  • 1 篇 经济学
  • 1 篇 文学
  • 1 篇 军事学

主题

  • 26 篇 pattern recognit...
  • 22 篇 image processing
  • 15 篇 feature extracti...
  • 14 篇 image segmentati...
  • 13 篇 computer science
  • 10 篇 support vector m...
  • 10 篇 image reconstruc...
  • 9 篇 laboratories
  • 9 篇 mobile robots
  • 9 篇 image analysis
  • 9 篇 computer vision
  • 8 篇 image edge detec...
  • 8 篇 cameras
  • 8 篇 shape
  • 8 篇 robustness
  • 7 篇 machine learning
  • 7 篇 humans
  • 7 篇 training
  • 6 篇 computer graphic...
  • 6 篇 visualization

机构

  • 34 篇 institute of ima...
  • 22 篇 institute of ima...
  • 20 篇 image processing...
  • 13 篇 school of comput...
  • 6 篇 pattern recognit...
  • 6 篇 department of au...
  • 6 篇 school of comput...
  • 5 篇 institute of ima...
  • 5 篇 institute of med...
  • 5 篇 pattern recognit...
  • 4 篇 national laborat...
  • 4 篇 department of co...
  • 3 篇 school of comput...
  • 3 篇 school of comput...
  • 3 篇 oppo research se...
  • 3 篇 the school of co...
  • 3 篇 school of comput...
  • 3 篇 college of compu...
  • 3 篇 institute of ima...
  • 3 篇 institute for pa...

作者

  • 28 篇 yang jie
  • 17 篇 ping guo
  • 10 篇 huang xiaolin
  • 9 篇 yang yang
  • 9 篇 sergiu nedevschi
  • 8 篇 jie yang
  • 8 篇 guo ping
  • 7 篇 burkhardt hans
  • 7 篇 wang lisheng
  • 7 篇 bischof horst
  • 7 篇 jie huang
  • 7 篇 gong chen
  • 6 篇 maier andreas
  • 6 篇 qunfei zhao
  • 6 篇 liu wei
  • 6 篇 yang jian
  • 6 篇 hong-bin shen
  • 6 篇 chen huai
  • 5 篇 qian yin
  • 5 篇 yuncai liu

语言

  • 290 篇 英文
  • 6 篇 其他
  • 5 篇 中文
检索条件"机构=Institute for Pattern Recognition and Image Processing Computer Science Department"
301 条 记 录,以下是111-120 订阅
排序:
Color image filtering based on impulsive noise detection
Color image filtering based on impulsive noise detection
收藏 引用
MIPPR 2007: Automatic Target recognition and image Analysis;and Multispectral image Acquisition
作者: Li, Dehua Jin, Lianghai Yao, Xingzhong Xiong, Caiquan State Key Lab. for Image Processing and Intelligent Control Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China Second Artillery Command College Wuhan 430012 China School of Computer Science Hubei University of Technology Wuhan 430068 China
This paper introduces a new class of switching vector median filter. The proposed algorithm first uses four directional masks to analyze the color difference between the central pixel and its neighborhood pixels in th... 详细信息
来源: 评论
Needle segmentation using 3D quick randomized hough transform
Needle segmentation using 3D quick randomized hough transfor...
收藏 引用
1st International Conference on Intelligent Networks and Intelligent Systems, ICINIS 2008
作者: Qiu, Wu Ding, Mingyue Yuchi, Ming Institute for Pattern Recognition and Artificial Intelligence Image Processing and Intelligence Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Wuhan Hubei China Department of Biomedical Engineering School of Life Science and Technology Huazhong University of Science and Technology Wuhan Hubei China
A quick 3D needle segmentation algorithm for 3D US data is described in this paper. The algorithm includes the 3D Quick Randomized Hough Transform (3DGHT), which is based on the 3D Randomized Hough Transform and coars... 详细信息
来源: 评论
Color texture-based object detection: An application to license plate localization  1st
Color texture-based object detection: An application to lice...
收藏 引用
1st International Workshop on pattern recognition with Support Vector Machines, SVM 2002
作者: In Kim, Kwang Jung, Keechul Kim Hyung, Jin Artificial Intelligence Lab CS Department Korea Advanced Institute of Science and Technology Taejon305-701 Korea Republic of Pattern Recognition and Image Processing Lab CS and Engineering Department Michigan State University East LansingMI48824-1226 United States
This paper presents a novel color texture-based method for object detection in images. To demonstrate our technique, a vehicle license plate (LP) localization system is developed. A support vector machine (SVM) is use... 详细信息
来源: 评论
Robot Position Identification by Actively Localizing Sound Beacons
Robot Position Identification by Actively Localizing Sound B...
收藏 引用
IEEE Instrumentation and Measurement Technology Conference
作者: Jie Huang Satoshi Ishikawa Michiko Ebana Huakang Li Qunfei Zhao School of computer science and engineering University of Aizu Japan Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University China
In this paper, we proposed a robot self position identification method by active sound localization. This method can be used for autonomous security robots working in room environments. A system using a AIBO robot equ... 详细信息
来源: 评论
Generalized stochastic tube model: Tracking 3D blood vessels in MR images  12
Generalized stochastic tube model: Tracking 3D blood vessels...
收藏 引用
12th IAPR International Conference on pattern recognition - Conference B: pattern recognition and Neural Networks, ICPR 1994
作者: Huang, Qian Stockman, George C. IBM Research Division Almaden Research Center 650 Harry Road San JoseCA95120-6099 United States Pattern Recognition and Image Processing Laboratory Department of Computer Science Michigan State University East LansingMI48824 United States
This paper addresses the issue of tracking tubular objects, particularly blood vessels from MR images. A model-based approach is adopted. The generalized stochastic tube (GST) model is developed which is an extension ... 详细信息
来源: 评论
Model-based automatic recognition of blood vessels from MR images and its 3D visualization
Model-based automatic recognition of blood vessels from MR i...
收藏 引用
The 1994 1st IEEE International Conference on image processing
作者: Huang, Qian Stockman, G.C. IBM Research Division Almaden Research Center 650 Harry Road San JoseCA95120-6099 United States Pattern Recognition and Image Processing Laboratory Department of Computer Science Michigan State University East LansingMI48824 United States
A model-based approach is used for recognizing arterial blood vessels from MRA volumetric data. The modeling includes (1) a generalized stochastic tube model characterizing the structural properties of the vessels, an... 详细信息
来源: 评论
Empirically validating software metrics for risk prediction based on intelligent methods
Journal of Digital Information Management
收藏 引用
Journal of Digital Information Management 2007年 第3期5卷 99-106页
作者: Xu, Zhihong Zheng, Xin Guo, Ping Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing 100875 China School of Computer Science Beijing Institute of Technology Beijing 100081 China
The software systems which are related to national science and technology projects are very crucial. This kind of systems always involves high technical factors and has to spend a large amount of money, so the quality... 详细信息
来源: 评论
LRTHR-Net: A Low-Resolution-to-High-Resolution Framework to Iteratively Refine the Segmentation of Thyroid Nodule in Ultrasound images  23rd
LRTHR-Net: A Low-Resolution-to-High-Resolution Framework to ...
收藏 引用
Anatomical Brain Barriers to Cancer Spread: Segmentation from CT and MR images Challenge, ABCs 2020, Learn2Reg Challenge, L2R 2020 and Thyroid Nodule Segmentation and Classification in Ultrasound images Challenge, TN-SCUI 2020 held in conjunction with 23rd International Conference on Medical image Computing and computer-Assisted Intervention, MICCAI 2020
作者: Chen, Huai Song, Shaoli Wang, Xiuying Wang, Renzhen Meng, Deyu Wang, Lisheng Institute of Image Processing and Pattern Recognition Department of Automation Shanghai Jiao Tong University Shanghai200240 China Department of Nuclear Medicine Fudan University Shanghai Cancer Center Shanghai China School of Computer Science The University of Sydney Sydney Australia School of Mathematics and Statistics Xi’an Jiaotong University Xi’an China
The thyroid nodule is quickly increasing worldwide and the thyroid ultrasound is the key tool for the diagnosis of it. For the subtle difference between malignant and benign nodules, segmenting lesions is the crucial ... 详细信息
来源: 评论
Multi-source remote sensing classification based on Mallat fusion and residual error feature selection
Journal of Digital Information Management
收藏 引用
Journal of Digital Information Management 2007年 第3期5卷 130-137页
作者: Cao, Dongdong Yin, Qian Guo, Ping Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing 100875 China School of Computer Science Beijing Institute of Technology Beijing 100081 China
Classification of multi-source remote sensing images has been studied for decades, and many methods have been proposed or improved. Most of these studies focus on how to improve the classifiers in order to obtain high... 详细信息
来源: 评论
Error analysis and improvements of Spectral Angle Mapper (SAM) model
Error analysis and improvements of Spectral Angle Mapper (SA...
收藏 引用
MIPPR 2005: SAR and Multispectral image processing
作者: Du, Peijun Chen, Yunhao Fang, Tao Tang, Hong Department of RS and GISCi China University of Mining and Technology Xuzhou City Jiangsu Province 221008 China College of Resources Science Beijing Normal University Beijing 100875 Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai 200030 China
Spectral Angle Mapper (SAM) model has got wide applications in hyperspectral Remote Sensing (RS) information processing. But Spectral Angle couldn't achieve satisfied performance in some cases because of its sensi... 详细信息
来源: 评论