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

15,139 篇 会议
247 篇 期刊文献
227 册 图书
3 篇 学位论文

馆藏范围

15,616 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

8,104 篇 工学
- 5,426 篇 计算机科学与技术...
- 2,798 篇 软件工程
- 2,443 篇 电气工程
- 1,573 篇 信息与通信工程
- 1,011 篇 控制科学与工程
- 834 篇 光学工程
- 572 篇 电子科学与技术（可...
- 555 篇 生物医学工程（可授...
- 550 篇 机械工程
- 511 篇 仪器科学与技术
- 419 篇 生物工程
- 286 篇 测绘科学与技术
- 204 篇 航空宇航科学与技...
- 189 篇 交通运输工程
- 180 篇 材料科学与工程（可...
- 145 篇 安全科学与工程
- 119 篇 化学工程与技术
4,114 篇 理学
- 2,771 篇 物理学
- 1,130 篇 数学
- 473 篇 生物学
- 325 篇 系统科学
- 275 篇 统计学（可授理学、...
- 146 篇 化学
1,618 篇 医学
- 1,437 篇 临床医学
- 215 篇 特种医学
- 203 篇 基础医学(可授医学...
- 134 篇 药学(可授医学、理...
859 篇 管理学
- 515 篇 管理科学与工程(可...
- 379 篇 图书情报与档案管...
- 130 篇 工商管理
78 篇 法学
69 篇 农学
42 篇 经济学
40 篇 教育学
28 篇 文学
25 篇 军事学
21 篇 艺术学
1 篇 哲学

主题

2,700 篇 image processing
1,404 篇 image segmentati...
1,148 篇 signal processin...
793 篇 real-time system...
744 篇 cameras
743 篇 feature extracti...
552 篇 image edge detec...
539 篇 signal processin...
479 篇 image reconstruc...
470 篇 image coding
447 篇 algorithm design...
372 篇 deep learning
368 篇 object detection
345 篇 computer vision
344 篇 hardware
337 篇 image color anal...
335 篇 real time system...
333 篇 clustering algor...
333 篇 accuracy
316 篇 computer archite...

机构

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

作者

22 篇 anon
13 篇 de-shuang huang
12 篇 jagdish chand ba...
11 篇 jie yang
11 篇 p. pirsch
10 篇 hannig frank
10 篇 panetta karen
10 篇 c.-c.j. kuo
10 篇 j.m. mendel
10 篇 plaza antonio
10 篇 r. chellappa
9 篇 semenishchev e.
9 篇 zelensky a.
9 篇 bovik alan c.
9 篇 wei li
8 篇 frank hannig
8 篇 yves wiaux
8 篇 a.s. willsky
8 篇 mahalanobis a
8 篇 ilias maglogiann...

语言

15,262 篇 英文
254 篇 其他
81 篇 中文
26 篇 土耳其文
4 篇 俄文
3 篇 葡萄牙文
2 篇 法文
1 篇 西班牙文

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

共 15616 条记录，以下是4461-4470 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：

A River Flood Monitoring Technique based on image Splitting algorithms

A River Flood Monitoring Technique based on Image Splitting ...

引用

IEEE International conference on Intelligent Data Acquisition and Advanced Computing systems

作者： Roberta Avanzato Francesco Beritelli Angelo Cavallaro Massimiliano Cuccia Tiziana Lombardo University of Catania Italy AC2 S.r.l. Advanced Consulting Zafferana Etnea CT Italy

The development of innovative solutions to reduce hydrogeological risk is one of the most important research topics of recent years. The paper proposes a technique for river flood detection based on image processing for sub-blocks. The tests carried out with the proposed method have shown that the system is able to estimate the flooding event with good precision and with very short timeframes. The research activity was carried out within the CORA (COntrollo del Rischio Ambientale, Environmental Risk Control) project financed by the Calabria Region (Italy).

关键词： Rivers Floods Monitoring Sensors image processing Cameras Satellites

来源：评论

学校读者我要写书评

暂无评论

image Foreground Extraction by ICA-PSO and Hilbert-Schmidt Independence Criterion

Image Foreground Extraction by ICA-PSO and Hilbert-Schmidt I...

引用

International conference of Signal processing and Intelligent systems (ICSPIS)

作者： Hossein Mahdian Toroghi Mitra Mirzarezaee Babak Nadjar Araabi Rahil Mahdian Toroghi Science and Research branch Islamic Azad University Tehran Iran School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran Faculty of Media Technology and Engineering Iran Broadcasting University (IRIBU) Tehran Iran

ISBN: (数字)9781728153506

ISBN: (纸本)9781728153513

Foreground extraction from an image, even by using the reference background is still a challenging problem due to the temporal variations that might occur for the test image, such as background illumination changes and object movements. In this paper, a novel structure has been presented to address this problem using a modified version of ICA algorithm which leverages the Hilbert-Schmidt Independence Criterion (HSIC) instead of the common objective functions. Moreover, the unmixing matrix elements of ICA are extracted through a Particle Swarm (PSO) evolutionary algorithm in a much faster way. The experimental results clearly show the outperformance of the proposed structure over the original works being cited among the references, using Wallflower dataset.

关键词： Signal processing algorithms Kernel conferences Signal processing Lighting Linear programming Task analysis

来源：评论

学校读者我要写书评

暂无评论

Counting Vehicle with High-Precision in Brazilian Roads Using YOLOv3 and Deep SORT

Counting Vehicle with High-Precision in Brazilian Roads Usin...

引用

Brazilian Symposium on Computer Graphics and image processing (SIBGRAPI)

作者： Adson M. Santos Carmelo J. A. Bastos-Filho Alexandre M. A. Maciel Estanislau Lima Polytechnic School of Pernambuco - University of Pernambuco Recife Brazil

ISBN: (数字)9781728192741

ISBN: (纸本)9781728192758

The Brazilian National Department of Transport Infrastructure (DNIT) maintains the National Traffic Counting Plan (PNCT). The main goal of PNCT is to evaluate the current flow of traffic on federal highways aiming to define public policies. However, DNIT still performs the quantitative classificatory surveys not automated or with invasive equipment. It is crucial for conducting traffic studies to search for more modern solutions to accomplish a higher number of automated non-invasive, and low-cost classificatory surveys. This paper proposes a system that uses YOLOv3 for object detection and the Deep SORT for multiple objects tracking algorithms. From the results over real-world videos collected in Brazilian roads, we obtained a precision above 90 % in the global vehicle count. We also show that our proposal outperformed other previously proposed tools with 99.15% precision in public datasets. We believe this paper's proposal allows the development of a traffic analysis tool to be used for the automation of the volumetric traffic surveys, enabling to improve the DNIT agility and generating economy for the public coffers.

关键词： Object detection videos Detectors Real-time systems Proposals Object tracking Roads

来源：评论

学校读者我要写书评

暂无评论

KSLIC: K-mediods clustering based simple linear iterative clustering 1

引用

2nd Chinese conference on Pattern Recognition and Computer vision, PRCV 2019

作者： Zhang, Houwang Zhu, Yuan School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China

ISBN: (数字)9783030317232

ISBN: (纸本)9783030317225

Simple Linear Iterative Clustering (SLIC) is one of the most excellent superpixel segmentation algorithms with the most comprehensive performance and is widely used in various scenes of production and living. As a preprocessing step in image processing, superpixel segmentation should meet various demands in real life as much as possible, but SLIC is highly sensitive to noise. In this paper, a K-mediods clustering based simple linear iterative clustering (KSLIC) is proposed, which replaces the K-means clustering in SLIC with a modified local K-mediods clustering. To evaluate the performance of KSLIC, we test it on BSD500 benchmark dataset. The results show that it outperforms SLIC in terms of different noise environments including Gaussian noise, multiplicative noise and salt and pepper noise. © Springer Nature Switzerland AG 2019.

关键词： Salt and pepper noise

来源：评论

学校读者我要写书评

暂无评论

Optimized Implementation of Modified Gram Schmidt Algorithm on VLIW Architecture

Optimized Implementation of Modified Gram Schmidt Algorithm ...

引用

World conference on Complex systems

作者： Mohamed Najoui Said Belkouch Anas Hatim Noureddine Chabini E2SN Lab ENSET-Rabat Mohamed V University Rabat Morocco LGEMS Lab ENSA-Agadir Ibn Zohr University Agadir Morocco LGECOS Lab ENSA-Marrakech Cadi Ayyad University Marrakech Morocco Royal Military College of Canada Kingston ON Canada

Modified Gram Schmidt (MGS) is one of the well-known forms of QR decomposition (QRD) algorithms. It has been used in many signal and image processing applications to solve least square problem, linear equations or to invert matrices. Nevertheless, QRD is considered a computationally expensive operation, and its sequential implementation doesn't meet the requirements of many real time applications. In this paper, we propose an optimized MGS algorithm version based on software pipelining and loop unrolling techniques. The suggested MGS version is parallel and well suited for VLIW architectures. The implementation is done under TI C6678 VLIW DSP and the obtained results show great improvements against the standard MGS and the optimized vendor QRD implementations.

关键词： VLIW Kernel Signal processing algorithms Computer architecture Parallel processing Matrix decomposition Software algorithms

来源：评论

学校读者我要写书评

暂无评论

Transfer Learning Analysis of image processing Workflows for Electron Microscopy Datasets

Transfer Learning Analysis of Image Processing Workflows for...

引用

Asilomar conference on Signals, systems & Computers

作者： Erik C. Johnson Luis M. Rodriguez Raphael Norman-Tenazas Daniel Xenes William R. Gray-Roncal Applied Physics Laboratory The Johns Hopkins University Laurel MD

ISBN: (数字)9781728143002

ISBN: (纸本)9781728143019

Neuroscientists are collecting Electron Microscopy (EM) datasets at increasingly faster rates. This modality offers an unprecedented map of brain structure at the resolution of individual neurons and their synaptic connections. Despite sophisticated image processing algorithms such as Flood Filling Networks, these huge datasets often require large amounts of hand-labeled data for algorithm training, followed by significant human proofreading. Many of these challenges are common across neuroscience modalities (and in other domains), but we use EM as a use case because the scale of this data emphasizes the opportunity and impact of rapidly transferring methods to new datasets. We investigate transfer learning for these work-flows, exploring transfer to different regions within a dataset, between datasets from different species, and for datasets collected with different image acquisition techniques. For EM data, we investigate the impact of algorithm performance at different workflow stages. Finally, we assess the impact of candidate transfer learning strategies in environments with no training labels. This work provides a library of algorithms, pipelines, and baselines on established datasets. We enable rapid assessment and improvements to processing pipelines, and an opportunity to quickly and effectively analyze new datasets for the neuroscience community.

关键词： image segmentation Synapses Pipelines Training Neurons Imaging Annotations

来源：评论

学校读者我要写书评

暂无评论

Real-time image and video processing for Advanced Services on-board Vehicles for Passenger Transport

Real-time Image and Video Processing for Advanced Services o...

引用

conference on Real-Time image and video processing

作者： Saponara, Sergio Univ Pisa Dept Informat Engn Via G Caruso 16 I-56122 Pisa Italy

ISBN: (数字)9781510618527

ISBN: (纸本)9781510618527

The paper exploits the video camera available on-board vehicles for public transport, such as trains, coaches, ferryboats, and so on, to implement advanced services for the passengers. The idea is implementing not only surveillance systems, but also passenger services such as: people counting, smoke and/or fire alarm, automatic climate control, e-ticketing. For each wagon, an embedded acquisition and processing unit is used, which is composed by a video multiplexer, and by an image/video signal processor that implements in real-time algorithms for advanced services such as: smoke detection, to give an early alarm in case of a fire, or people detection for people counting, or fatigue detection for the driver. The alarm is then transmitted to the train information system, to be displayed for passengers or the crew staff.

关键词： Public Passenger Transport video and image Signal processing Digital Signal Processors Smart Camera systems Real-Time Alarm Generation

来源：评论

学校读者我要写书评

暂无评论

Identification of Sunflower Leaf Diseases Based on Random Forest Algorithm

Identification of Sunflower Leaf Diseases Based on Random Fo...

引用

International conference on Intelligent Computing, Automation and systems (ICICAS)

作者： Jun Liu Fang Lv Penghui Di Inner Mongolia University of Technology College of Information Engineering Hohhot China

ISBN: (数字)9781728161068

ISBN: (纸本)9781728161075

Using digital image processing and machine learning technology to realize the automatic recognition of plant leaf diseases is of great significance to the prevention and control of crop diseases. In this paper, powdery mildew, bacterial leaf spot, black spot and downy mildew of sunflower leaves were studied. The image samples were denoised by morphological weight adaptive image denoising method. K-means + + clustering algorithm and watershed algorithm are used to segment the image of sunflower leaf disease. 19 feature values of color feature and texture feature are extracted from the diseased areas, and a random forest algorithm is constructed to identify the diseased areas. The overall recognition rate can reach 95%.

关键词： crops feature extraction image colour analysis image denoising image recognition image segmentation image texture learning (artificial intelligence) pattern clustering plant diseases random forests image colour analysis image texture image recognition image denoising Plant Diseases image segmentation Cluster Analysis Feature extraction Plant health crops color feature image processing image samples Foliar diseases algorithms

来源：评论

学校读者我要写书评

暂无评论

Design and Open Source Implementation of a Reconfigurable Hardware Model Predicitive Controller using Online Optimization 12

Design and Open Source Implementation of a Reconfigurable Ha...

引用

12th conference on Design and Architectures for Signal and image processing (DASIP)

作者： Kaestner, Florian Werner, Florian Seydioglu, Erman Huebner, Michael Ruhr Univ Bochum Chair Embedded Syst Informat Technol Bochum Nordrhein Westf Germany

ISBN: (纸本)9781538682371

Advanced Process Controls (APCs) are already widely and deeply established especially for industrial plants with high but complex optimization possibilities like chemical batch processes. The most famous representer is the Model Predictive Controller (MPC). Unlike traditional controllers, an explicit process model is used to predict the future reaction of the system, given the control input and the past states. In order to find optimal control input, this prediction is used to find a sufficient solution for a dynamic optimization problem. Due to the complex algorithms needed to find a global minimum of the constrained quadratic problem using online optimization with real-time capabilities, a suitable performance of the underlying hardware is required. FPGA implementations are especially interesting due to the application specific data flow parallelization character of MPC tasks. In this research we focus on the algorithm development and reconfigurable hardware implementation of a generic MPC using High-Level-Synthesis (HLS).

关键词： Hardware Optimization Field programmable gate arrays Matlab Predictive models Heuristic algorithms Real-time systems

来源：评论

学校读者我要写书评

暂无评论

Arabic-Numbers Recognition System for Car Plates

Arabic-Numbers Recognition System for Car Plates

引用

International conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE)

作者： Yasir Elhadi Omar Abdalshakour Sharief Babiker Department of Electrical and Electronic Engineering University of Khartoum Faculty of Engineering Khartoum Sudan

ISBN: (数字)9781728110066

ISBN: (纸本)9781728110073

In the modern era, computers are used to automate most of the operations used to be done by humans. This leads to higher performance and low cost of operations. The field of traffic management is not an exception. In this paper, we propose an automatic license plate recognition system which can extract the license plate number of the vehicles using machine learning models and image processing algorithms. License plate recognition systems pass through three successive stages and differ in the techniques used to achieve the output. In this paper, Locating the license plate in a given image is the first stage. It is achieved using Faster Region-Based Convolutional Neural Network, which is capable of identifying regions with objects based on regions proposal network. It is also capable of classifying the detected objects. Second stage is the segmentation of the plate using image processing algorithms and final stage is to recognize the segmented digits using convolutional neural network model. Results reveal that the presented system successfully detects and recognizes the vehicle number plate on real images, achieving an overall accuracy of 93% with a total of 100 images.

关键词： Licenses image segmentation Training Classification algorithms image recognition Proposals

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 << < 443 444 445 446 447 448 449 450 451 452 > >>

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：