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

12,341 篇 会议
176 篇 期刊文献
158 册 图书

馆藏范围

12,675 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

6,323 篇 工学
- 4,198 篇 计算机科学与技术...
- 2,144 篇 软件工程
- 1,822 篇 电气工程
- 1,258 篇 信息与通信工程
- 804 篇 控制科学与工程
- 642 篇 光学工程
- 448 篇 生物医学工程（可授...
- 437 篇 电子科学与技术（可...
- 429 篇 机械工程
- 389 篇 仪器科学与技术
- 308 篇 生物工程
- 194 篇 测绘科学与技术
- 145 篇 材料科学与工程（可...
- 139 篇 航空宇航科学与技...
- 132 篇 交通运输工程
- 99 篇 安全科学与工程
- 85 篇 网络空间安全
2,971 篇 理学
- 1,949 篇 物理学
- 871 篇 数学
- 349 篇 生物学
- 242 篇 系统科学
- 216 篇 统计学（可授理学、...
- 108 篇 化学
1,336 篇 医学
- 1,182 篇 临床医学
- 189 篇 特种医学
- 153 篇 基础医学(可授医学...
- 98 篇 药学(可授医学、理...
682 篇 管理学
- 415 篇 管理科学与工程(可...
- 289 篇 图书情报与档案管...
- 84 篇 工商管理
55 篇 法学
55 篇 农学
30 篇 教育学
26 篇 文学
25 篇 经济学
17 篇 军事学
15 篇 艺术学
1 篇 哲学

主题

2,586 篇 image processing
1,376 篇 image segmentati...
1,143 篇 signal processin...
605 篇 cameras
598 篇 feature extracti...
584 篇 image edge detec...
517 篇 signal processin...
471 篇 real-time system...
469 篇 image coding
456 篇 image reconstruc...
388 篇 algorithm design...
334 篇 image color anal...
311 篇 deep learning
307 篇 pixel
300 篇 image enhancemen...
298 篇 real time system...
293 篇 object detection
290 篇 computer archite...
283 篇 hardware
281 篇 neural networks

机构

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

作者

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

语言

12,157 篇 英文
433 篇 其他
82 篇 中文
20 篇 土耳其文
3 篇 葡萄牙文
2 篇 俄文
1 篇 西班牙文
1 篇 法文

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

共 12675 条记录，以下是4251-4260 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：

Estimation of the particle concentration in hydraulic liquid by the in-line automatic particle counter based on the CMOS image sensor 10

Estimation of the particle concentration in hydraulic liquid...

引用

conference on Optical Measurement systems for Industrial Inspection X part of the SPIE Optical Metrology Symposium

作者： Kornilin, Dmitriy V. Kudryavtsev, Ilya A. McMillan, Alison J. Osanlou, Ardeshir Ratcliffe, Ian Samara Natl Res Univ 34 Moskovskoe Shosse Samara 443086 Russia Glyndwr Univ Mold Rd Wrexham LL11 2AW Wales

ISBN: (纸本)9781510611047;9781510611030

Modern hydraulic systems should be monitored on the regular basis. One of the most effective ways to address this task is utilizing in-line automatic particle counters (APC) built inside of the system. The measurement of particle concentration in hydraulic liquid by APC is crucial because increasing numbers of particles should mean functional problems. Existing automatic particle counters have significant limitation for the precise measurement of relatively low concentration of particle in aerospace systems or they are unable to measure higher concentration in industrial ones. Both issues can be addressed by implementation of the CMOS image sensor instead of single photodiode used in the most of APC. CMOS image sensor helps to overcome the problem of the errors in volume measurement caused by inequality of particle speed inside of tube. Correction is based on the determination of the particle position and parabolic velocity distribution profile. Proposed algorithms are also suitable for reducing the errors related to the particles matches in measurement volume. The results of simulation show that the accuracy increased up to 90 per cent and the resolution improved ten times more compared to the single photodiode sensor.

关键词： CMOS matrix sensor image processing automatic particles counters hydraulic systems diagnostic concentration measurement

来源：评论

学校读者我要写书评

暂无评论

Parallel and Efficient Sensitivity Analysis of Microscopy image Segmentation Workflows in Hybrid systems

Parallel and Efficient Sensitivity Analysis of Microscopy Im...

引用

IEEE International conference on Cluster Computing (CLUSTER)

作者： Barreiros, Willian, Jr. Teodoro, George Kurc, Tahsin Kong, Jun Melo, Alba C. M. A. Saltz, Joel Univ Brasilia Dept Comp Sci Brasilia DF Brazil SUNY Stony Brook Dept Biomed Informat Stony Brook NY 11794 USA Oak Ridge Natl Lab Sci Data Grp Oak Ridge TN USA Emory Univ Biomed Informat Dept Atlanta GA 30322 USA

ISBN: (纸本)9781538623268

We investigate efficient sensitivity analysis (SA) of algorithms that segment and classify image features in a large dataset of high-resolution images. Algorithm SA is the process of evaluating variations of methods and parameter values to quantify differences in the output. A SA can be very compute demanding because it requires re-processing the input dataset several times with different parameters to assess variations in output. In this work, we introduce strategies to efficiently speed up SA via runtime optimizations targeting distributed hybrid systems and reuse of computations from runs with different parameters. We evaluate our approach using a cancer image analysis workflow on a hybrid cluster with 256 nodes, each with an Intel Phi and a dual socket CPU. The SA attained a parallel efficiency of over 90% on 256 nodes. The cooperative execution using the CPUs and the Phi available in each node with smart task assignment strategies resulted in an additional speedup of about 2x. Finally, multi-level computation reuse lead to an additional speedup of up to 2.46x on the parallel version. The level of performance attained with the proposed optimizations will allow the use of SA in large-scale studies.

关键词： image segmentation Sensitivity analysis Optimization Algorithm design and analysis Runtime image analysis

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

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 << < 422 423 424 425 426 427 428 429 430 431 > >>

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：