检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

14,191 篇 会议
294 篇 期刊文献
199 册 图书
6 篇 学位论文

馆藏范围

14,690 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

7,903 篇 工学
- 5,308 篇 计算机科学与技术...
- 2,565 篇 软件工程
- 2,534 篇 电气工程
- 1,454 篇 信息与通信工程
- 939 篇 控制科学与工程
- 753 篇 光学工程
- 548 篇 生物医学工程（可授...
- 536 篇 电子科学与技术（可...
- 513 篇 仪器科学与技术
- 488 篇 机械工程
- 358 篇 生物工程
- 246 篇 测绘科学与技术
- 185 篇 材料科学与工程（可...
- 173 篇 航空宇航科学与技...
- 150 篇 交通运输工程
- 111 篇 安全科学与工程
- 96 篇 化学工程与技术
3,834 篇 理学
- 2,639 篇 物理学
- 1,009 篇 数学
- 411 篇 生物学
- 276 篇 系统科学
- 256 篇 统计学（可授理学、...
- 133 篇 化学
1,610 篇 医学
- 1,422 篇 临床医学
- 250 篇 特种医学
- 185 篇 基础医学(可授医学...
- 113 篇 药学(可授医学、理...
782 篇 管理学
- 469 篇 管理科学与工程(可...
- 339 篇 图书情报与档案管...
- 98 篇 工商管理
67 篇 农学
60 篇 法学
37 篇 教育学
30 篇 经济学
27 篇 文学
20 篇 军事学
19 篇 艺术学
1 篇 哲学

主题

2,879 篇 image processing
1,507 篇 image segmentati...
1,202 篇 signal processin...
660 篇 feature extracti...
626 篇 cameras
592 篇 image edge detec...
590 篇 signal processin...
530 篇 image coding
524 篇 image reconstruc...
475 篇 real-time system...
416 篇 algorithm design...
354 篇 image analysis
352 篇 image color anal...
333 篇 deep learning
332 篇 image enhancemen...
312 篇 object detection
305 篇 pixel
300 篇 hardware
299 篇 real time system...
294 篇 computer archite...

机构

22 篇 signal and image...
19 篇 samara national ...
14 篇 school of electr...
12 篇 department of el...
11 篇 samara national ...
11 篇 univ texas san a...
10 篇 school of electr...
10 篇 center for signa...
9 篇 information syst...
9 篇 institute of ima...
9 篇 tongji universit...
9 篇 university of ch...
8 篇 school of electr...
8 篇 univ chinese aca...
8 篇 university of to...
8 篇 purdue univ sch ...
8 篇 electrical compu...
8 篇 image processing...
8 篇 information syst...
8 篇 samara national ...

作者

19 篇 anon
13 篇 de-shuang huang
12 篇 jagdish chand ba...
11 篇 p. pirsch
10 篇 jie yang
10 篇 panetta karen
10 篇 j.m. mendel
9 篇 c.-c.j. kuo
9 篇 mahalanobis a
9 篇 r. chellappa
8 篇 miller jwv
8 篇 semenishchev e.
8 篇 frank hannig
8 篇 hannig frank
8 篇 ilias maglogiann...
7 篇 busch christoph
7 篇 zelensky a.
7 篇 bovik alan c.
7 篇 jerry m. mendel
7 篇 kupriyanov a.v.

语言

14,370 篇 英文
220 篇 其他
82 篇 中文
20 篇 土耳其文
6 篇 德文
3 篇 葡萄牙文
2 篇 西班牙文
2 篇 俄文
1 篇 法文
1 篇 波兰文

检索条件"任意字段=Conference on Image Processing - Algorithms and Systems III"

共 14690 条记录，以下是4671-4680 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Optical Projection Tomography via Phase Retrieval algorithms for Hidden Three Dimensional Imaging 3

Optical Projection Tomography via Phase Retrieval Algorithms...

引用

conference on Quantitative Phase Imaging iii

作者： Ancora, Daniele Di Battista, Diego Giasafaki, Georgia Psycharakis, Stylianos Liapis, Evangelos Zacharopoulos, Athanasios Zacharakis, Giannis Fdn Res & Technol Hellas Inst Elect Struct & Laser Iraklion Greece Univ Crete Dept Mat Sci Iraklion Greece Univ Crete Dept Med Iraklion Greece

ISBN: (数字)9781510605909

ISBN: (纸本)9781510605893;9781510605909

Optical tomography in biomedical imaging is a highly dynamic field in which non-invasive optical and computational techniques are combined to obtain a three dimensional representation of the specimen we are interested to image. Although at optical wavelengths scattering is the main obstacle to reach diffraction limited resolution, recently several studies have shown the possibility to image even objects fully hidden behind a turbid layer exploiting the information contained in the speckle autocorrelation via an iterative phase retrieval algorithm. In this work we explore the possibility of blind three dimensional reconstruction approach based on the Optical Projection Tomography principles, a widely used tool to image almost transparent model organism such as C. Elegans and D. Rerio. By using autocorrelation information rather than projections at each angle we prove, both numerically and experimentally, the possibility to perform exact three dimensional reconstructions via a specifically designed phase retrieval algorithm, extending the capability of the projection-based tomographic methods to image behind scattering curtains. The reconstruction scheme we propose is simple to implement, does not require post-processing data alignment and moreover can be trivially implemented in parallel to fully exploit the computing power offered by modern GPUs, further reducing the need for costly computational resources.

关键词： Phase Retrieval Scattering Optical Projection Tomography Three Dimensional Imaging Biomedical Imaging image Reconstruction Turbid Lens Memory Effect

来源：评论

学校读者我要写书评

暂无评论

Lane Detection and Prediction under Hazy Situations for Autonomous Vehicle Navigation

Lane Detection and Prediction under Hazy Situations for Auto...

引用

International conference on Advances in ICT for Emerging Regions

作者： Bandarage Shehani Sanketha Rathnayake Lochandaka Ranathunga Department of Information Technology University of Moratuwa Katubedda.Moratuwa Sri Lanka

ISBN: (纸本)9781538673539;9781538673522

Lane detection and tracking is essential concern in vision based autonomous vehicle navigation. This paper proposes a novel method based on probabilistic Hough transform and motion vector based analysis for detecting and tracking lane and lane departures. It addresses drawbacks of current systems under hazy situations with learning method based on previous tracking records of the system. In this method relevant lane mark features are extracted based on color variations. Therefore used HSL color model which gives higher color contrast of road surface and the markings. In order to reduce computation, processing algorithms are applied only to the region of interest (ROI). Edges of the selected regions are extracted with Canny Edge Detection. Since lane markings are made with set of straight lines, straight lines are extracted with Probabilistic Hough Transform. Extracted lines are analyzed to detect lane. To monitor lane departures vehicle's motion is detected and tracked based on motion vector analysis with Lucas Kanade Optical Flow algorithm. Previous detection records are used to track the lane continuously in hazy situations and provide prediction on approximate lane for the roads without lane markings. Experiments were performed on set of videos taken from vehicles' front camera mounted on dashboard. According to the experiments the proposed algorithm has 81.9% of sensitivity in lane detection and 63.5% in approximate lane predictions for the roads without lane markings. Lane detection algorithm has 83% precision, 68% recall and 0.75 F1 score with threshold brightness value 140. Algorithm can further improved to guide the autonomous vehicles to take accurate decisions on selecting safety lane to drive ahead in different situations.

关键词： Feature extraction Roads image color analysis Prediction algorithms Tracking image edge detection Transforms

来源：评论

学校读者我要写书评

暂无评论

Underwater image Dehazing with a Light Field Camera 30

Underwater Image Dehazing with a Light Field Camera

引用

30th IEEE/CVF conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

作者： Skinner, Katherine A. Johnson-Roberson, Matthew Univ Michigan Ann Arbor MI 48109 USA

ISBN: (纸本)9781538607336

Underwater vision is subject to effects of underwater light propagation that act to absorb, scatter, and attenuate light rays between the scene and the imaging platform. Backscattering has been shown to have a strong impact on underwater images. As light interacts with particulate matter in the water column, it is scattered back towards the imaging sensor, resulting in a hazy effect across the image. A similar effect occurs in terrestrial applications in images of foggy scenes due to interaction with the atmosphere. Prior work on multi-image dehazing has relied on multiple cameras, polarization filters, or moving light sources. Single image dehazing is an ill-posed problem;proposed solutions rely on strong priors of the scene. This paper presents a novel method for underwater image dehazing using a light field camera to capture both the spatial and angular distribution of light across a scene. First, a 2D dehazing method is applied to each sub-aperture image. These dehazed images are then combined to produce a smoothed central view. Lastly, the smoothed central view is used as a reference to perform guided image filtering, resulting in a 4D dehazed underwater light field image. The developed method is validated on real light field data collected in a controlled in-lab water tank, with images taken in air for reference. This dataset is made publicly available.

关键词： Estimation Field programmable gate arrays OFDM Modulation Filtration Clocks Signal processing algorithms

来源：评论

学校读者我要写书评

暂无评论

Deep Learning for SAR image Formation 24

Deep Learning for SAR Image Formation

引用

conference on algorithms for Synthetic Aperture Radar imagery XXIV

作者： Mason, Eric Yonel, Bariscan Yazici, Birsen Rensselaer Polytech Inst Dept Elect Comp & Syst Engn Troy NY 12180 USA

ISBN: (数字)9781510609044

ISBN: (纸本)9781510609037;9781510609044

The recent success of deep learning has lead to growing interest in applying these methods to signal processing problems. This paper explores the applications of deep learning to synthetic aperture radar (SAR) image formation. We review deep learning from a perspective relevant to SAR image formation. Our objective is to address SAR image formation in the presence of uncertainties in the SAR forward model. We present a recurrent auto-encoder network architecture based on the iterative shrinkage thresholding algorithm (ISTA) that incorporates SAR modeling. We then present an off-line training method using stochastic gradient descent and discuss the challenges and key steps of learning. Lastly, we show experimentally that our method can be used to form focused images in the presence of phase uncertainties. We demonstrate that the resulting algorithm has faster convergence and decreased reconstruction error than that of ISTA.

关键词： synthetic aperture radar SAR deep learning inverse problems recurrent neural networks RNN radar imaging autofocus neural network

来源：评论

学校读者我要写书评

暂无评论

TwinFusion: High Framerate Non-rigid Fusion through Fast Correspondence Tracking

TwinFusion: High Framerate Non-rigid Fusion through Fast Cor...

引用

International conference on 3D Imaging, Modeling, processing, Visualization and Transmission (3DIMPVT)

作者： Kaiwen Guo Jonathan Taylor Sean Fanello Andrea Tagliasacchi Mingsong Dou Philip Davidson Adarsh Kowdle Shahram Izadi Google Inc.

Real time non-rigid reconstruction pipelines are extremely computationally expensive and easily saturate the highest end GPUs currently available. This requires careful strategic choices to be made about a set of highly interconnected parameters that divide up the limited compute. At the same time, offline systems, prove the value of increasing voxel resolution, more iterations, and higher frame rates. To this end, we demonstrate a set of remarkably simple but effective modifications to these algorithms that significantly reduce the average per-frame computation cost allowing these parameters to be increased. Specifically, we divide the depth stream into sub-frames and fusion-frames, disabling both model accumulation (fusion) and non-rigid alignment (model tracking) on the former. Instead, we efficiently track point correspondences across neighboring sub-frames. We then leverage these correspondences to initialize the standard non-rigid alignment to a fusion-frame where data can then be accumulated into the model. As a result, compute resources in the modified non-rigid reconstruction pipeline can be immediately re-purposed to increase voxel resolution, use more iterations or to increase the frame rate. To demonstrate the latter, we leverage recent high frame rate depth algorithms to build a novel “twin” sensor consisting of a low-res/highfps sub-frame camera and a second low-fps/high-res fusion camera.

关键词： Cameras Tracking image reconstruction Computational modeling Deformable models Data models Strain

来源：评论

学校读者我要写书评

暂无评论

A Fast Method to Extract Focal Length of Camera Based on Parallel Particle Swarm Optimization

A Fast Method to Extract Focal Length of Camera Based on Par...

引用

Chinese Control conference (CCC)

作者： Chao Zheng Huangbin Qiu Chenning Liu Xin Zheng Chang Zhou Zeqing Liu Jiayuan Yang China Academy of Launch Vehicle Technology Beijing

The intrinsic parameters of the camera are mainly composed of the focal length, coordinate of the main point and the tilting factor. The focal length is an important parameter for the camera to obtain the three-dimensional information from the two-dimensional image, which determines the shooting angle of the lens. It can be obtained by the camera calibration, such as the Zhang's calibration method, but the process is tedious and takes a long time. In this paper, a fast method to extract focal length of camera is proposed. To improve and simplify the camera self-calibration algorithm, parallel particle swarm optimization (PSO) algorithm is applied to solve the improved Kruppa equation, making the pole computation converted to the fitness function of cost function. In addition, in the process of PSO calculation, parallel computing experiments are carried out on the multi-core computer platform, and the advantages of parallel computing are fully used. The experimental results show that the precision of the method's focal length is close to Zhang's calibration method, and the time of the algorithm is greatly reduced compared with other calibration algorithms.

关键词： Cameras Calibration Cost function Mathematical model Particle swarm optimization Parallel processing Robot vision systems

来源：评论

学校读者我要写书评

暂无评论

2017 International Work conference on Bio-Inspired Intelligence: Intelligent systems for Biodiversity Conservation, IWOBI 2017 - Proceedings

2017 International Work Conference on Bio-Inspired Intellige...

引用

5th IEEE International Work conference on Bio-Inspired Intelligence, IWOBI 2017

ISBN: (纸本)9781538608500

The proceedings contain 27 papers. The topics discussed include: cognitively inspired artificial bipedal humanoid gait generation;personal identification using forearm vein patterns;k-same-net: neural-network-based face deidentification;articulation acoustic kinematics in ALS speech: a longitudinal study case;voice pathology detection using deep learning: a preliminary study;analysis of disfluencies for automatic detection of mild cognitive impartment: a deep learning approach;automatic image processing based dental image analysis using automatic Gaussian fitting energy and level sets;automatic event handling during robot assisted eye surgery;automatic identification of botanical samples of leaves using computer vision;approach of kinematic control for a nonholonomic wheeled robot using artificial neural networks and genetic algorithms;impact of target variable distribution type over the regression analysis in wind turbine data;image reconstruction of the human forearm by electrical impedance tomography;assessment of the spectral quality of fused images using the CIEDE2000 distance;a superpixel-based approach based on consensus for delineating agricultural plots;automated segmentation of powdery mildew disease from cherry leaves using image processing;and control architecture to reproduce the knee and ankle movement using a transfemoral prosthesis.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Automatic Color Detection of Grape Based on Vision Computing Method

Automatic Color Detection of Grape Based on Vision Computing...

引用

International conference on Intelligent and Interactive systems and Applications (IISA)

作者： Wang, Yue Luo, Jun Wang, Qiaohua Zhai, Ruifang Peng, Hui Wu, Liang Zong, Yuhua Huazhong Agr Univ Coll Informat Wuhan 430070 Peoples R China Huazhong Agr Univ Coll Engn Wuhan 430070 Peoples R China North Xinjiang Fruit & Vegetable Ind Dev Co Ltd Bole 833400 Peoples R China

ISBN: (纸本)9783319495682;9783319495675

The vision characteristics-based on image detection techniques are functional method, which are appropriate for many industrial and agricultural applications. The color detection method is such a technique for non-destructive grading of the grape after the harvest process, which have been widely used in a variety of fruits' quality inspection and grading aspects based on vision computing method. However, the shapes of the entire bunch of grapes are obviously different with each other, which will influence the accuracy of non-destructive detection. This work develops a method for image detection and color grading of red and black grape samples, which uses vision computing technology to extract the effective color features of red and black grape samples, the experimental results show that the effective region extraction and color detection algorithms are feasible for color detection of grape.

关键词： Grape image processing Color detection Vision computing

来源：评论

学校读者我要写书评

暂无评论

GPU-Based Parallel Genetic Algorithm for Increasing the Coverage of WSNs 23

GPU-Based Parallel Genetic Algorithm for Increasing the Cove...

引用

23rd IEEE International conference on Parallel and Distributed systems (ICPADS)

作者： Zorlu, Ozan Dilek, Selma Ozsoy, Adnan Turkish Natl Def Univ Comp Engn Dept Istanbul Turkey Hacettepe Univ Comp Engn Dept Ankara Turkey

ISBN: (纸本)9781538621295

Advances in wireless communication, digital systems and micro-electronic-mechanical system technologies led to the development of wireless sensor networks (WSNs) which are used in various critical real-world applications. The fact that WSNs are low cost and eliminate the need for infrastructure led to their replacing traditional networks in area/event monitoring and tracking applications. WSNs consist of small and resource-limited sensor nodes, due to which several problems arise in the WSN development process. One of these problems is coverage. Providing the best coverage with a minimum number of sensor nodes is an NP-hard problem known as the maximum coverage sensor deployment problem (MCSDP). Genetic algorithms (GAs) have been proved effective in solving optimization problems in many different disciplines (increasing coverage in WSNs, image processing, route planning, etc.). In this study, a GPU-based parallel GA solution for increasing the coverage of a given homogeneous WSN topology in a 2-D Euclidean area is proposed which is the first time this technique is used and parallelized on GPUs to the best of our knowledge. Finally, performance results of the proposed algorithm are compared to the previous work with the emphasis on the achieved performance improvement.

关键词： GPU-based parallel genetic algorithm wireless sensor networks maximum coverage sensor deployment problem

来源：评论

学校读者我要写书评

暂无评论

Surface Defect Detection of Plaster Coating Based on Machine Vision

Surface Defect Detection of Plaster Coating Based on Machine...

引用

2017 IEEE International conference on Unmanned systems (ICUS)

作者： Huan Wu Huifu Luo Wei Zhu Yanghong Wang Qiang Zhang Binwu Ma Yanzhu Yang Hui Fan Hongwei Xu Beijing Institute of Technology the school of Mechanical Engineering Beijing Institute of Technology Donghua University

ISBN: (纸本)9781538631089;9781538631072

As a kind of traditional Chinese Medicine,plaster has been favored by more and more patients because of its unique advantages in the treatment of *** the coating of plaster,its quality is very important to the ***,coating surface defect detection is very *** current mainstream detection method is manual inspection,there are many disadvantages in this,such as extremely low efficiency and bad for *** light of this situation,a set of plaster coating quality automatic detection system based on machine vision has been proposed in this *** a detailed analysis of the coating defects,a set of image detection algorithms have been *** can be found from the experimental results that the algorithm can identify the type of defects and locate the position *** error detection rate is low,and the robustness is good.

关键词： Machine Vision Plaster Coating Defect Detection image processing

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共500页 << < 464 465 466 467 468 469 470 471 472 473 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：