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

15,153 篇 会议
233 篇 期刊文献
229 册 图书
3 篇 学位论文

馆藏范围

15,618 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

8,092 篇 工学
- 5,417 篇 计算机科学与技术...
- 2,792 篇 软件工程
- 2,445 篇 电气工程
- 1,573 篇 信息与通信工程
- 1,006 篇 控制科学与工程
- 833 篇 光学工程
- 572 篇 电子科学与技术（可...
- 552 篇 生物医学工程（可授...
- 549 篇 机械工程
- 507 篇 仪器科学与技术
- 414 篇 生物工程
- 285 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
4,111 篇 理学
- 2,774 篇 物理学
- 1,130 篇 数学
- 467 篇 生物学
- 325 篇 系统科学
- 271 篇 统计学（可授理学、...
- 146 篇 化学
1,618 篇 医学
- 1,440 篇 临床医学
- 215 篇 特种医学
- 201 篇 基础医学(可授医学...
- 134 篇 药学(可授医学、理...
858 篇 管理学
- 515 篇 管理科学与工程(可...
- 378 篇 图书情报与档案管...
- 130 篇 工商管理
77 篇 法学
68 篇 农学
42 篇 经济学
40 篇 教育学
27 篇 文学
25 篇 军事学
20 篇 艺术学
1 篇 哲学

主题

2,703 篇 image processing
1,407 篇 image segmentati...
1,150 篇 signal processin...
805 篇 real-time system...
750 篇 feature extracti...
748 篇 cameras
552 篇 image edge detec...
540 篇 signal processin...
478 篇 image reconstruc...
470 篇 image coding
447 篇 algorithm design...
377 篇 deep learning
370 篇 object detection
345 篇 hardware
344 篇 computer vision
339 篇 accuracy
337 篇 image color anal...
335 篇 real time system...
333 篇 clustering algor...
317 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 university of to...
8 篇 image processing...

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

14,979 篇 英文
539 篇 其他
90 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 15618 条记录，以下是4241-4250 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：

Edge Oriented Hierarchical Motion Estimation For video Coding

Edge Oriented Hierarchical Motion Estimation For Video Codin...

引用

IEEE International conference on image processing

作者： Md. Asikuzzaman Ashek Ahmmed Mark R. Pickering Thomas Sikora School of Engineering and Information Technology The University of New South Wales Australia Communication Systems Group Technical University of Berlin Germany

ISBN: (数字)9781728163956

ISBN: (纸本)9781728163963

Efficient video compression relies heavily on mitigating the temporal redundancy that exists between successive video frames. This is achieved through effective motion modelling. In conventional video coding standards, the motion of the current frame is modelled from the neighbouring frames using block-based motion estimation techniques. However, as the motion discontinuities are tied to the moving objects in a video frame, the block-based techniques are unable to model the actual motion of individual objects. In this paper, an object-based hierarchical motion estimation and prediction technique for high-efficiency video coding (HEVC) is proposed. We use an edge position difference (EPD) similarity measure, which has the ability to align the largest object in the frames, to estimate the motion of the object in the current frame from the neighbouring one. In other words, it estimates the largest object's motion instead of the whole frame's global motion. The proposed method gradually models all of the objects' motions and establishes a prediction of the current frame. The predicted frame is then exploited as an additional reference frame in the HEVC compression algorithm. Our experimental results demonstrate that our proposed approach achieves a bit rate savings with a peak signal to noise ratio (PSNR) gain over the HEVC standard.

关键词： image edge detection video coding Motion estimation Standards Prediction algorithms Predictive models Position measurement

来源：评论

学校读者我要写书评

暂无评论

Relative planar motion for vehicle-mounted cameras from a single affine correspondence

Relative planar motion for vehicle-mounted cameras from a si...

引用

IEEE International conference on Robotics and Automation (ICRA)

作者： Levente Hajder Daniel Barath Department of Algorithms and their Applications Eötvös Loránd University Budapest Hungary Visual Recognition Group Czech Technical University Prague Czech Republic

ISBN: (数字)9781728173955

ISBN: (纸本)9781728173962

Two solvers are proposed for estimating the extrinsic camera parameters from a single affine correspondence assuming general planar motion. In this case, the camera movement is constrained to a plane and the image plane is orthogonal to the ground. The algorithms do not assume other constraints, e.g. the non-holonomic one, to hold. A new minimal solver is proposed for the semi-calibrated case, i.e. the camera parameters are known except a common focal length. Another method is proposed for the fully calibrated case. Due to requiring a single correspondence, robust estimation, e.g. histogram voting, leads to a fast and accurate procedure. The proposed methods are tested in our synthetic environment and on publicly available real datasets consisting of videos through tens of kilometers. They are superior to the state-of-the-art both in terms of accuracy and processing time.

关键词： Cameras Transmission line matrix methods Mathematical model Estimation Geometry Robot vision systems Robustness

来源：评论

学校读者我要写书评

暂无评论

Fruit Recognition and Classification with Deep Learning Support on Embedded System (fruitnet)

Fruit Recognition and Classification with Deep Learning Supp...

引用

Innovations in Intelligent systems and Applications conference

作者： Haci Bayram Ünal Ebru Vural Burcu Kir Savaş Yaşar Becerikli Bilgisayar Mühendisligi Bölümü Kocaeli Üniversitesi Kocaeli Türkiye

ISBN: (数字)9781728191362

ISBN: (纸本)9781728191379

The fruit classification process is commercially important. Fruit production at harvest time is quite high. Classification of fruits according to their types and characteristics is usually done by hand and eye. This method can cause huge losses in terms of time, cost and labor. In the proposed study, fruit recognition is carried out by using image processing methods. In the study, the classification process Convolutional Neural Networks (ConNN) * deep learning model is made. The proposed model is developed on Keras platform. For the realization of the study in real life, 20 different fruits in 2 different data sets are tested. The last designed model is tested on Jetson Nano card in real time. * Convulational Neural Network has been abbreviated as ConNN, not CNN or CoNN, CNN has been used as the abbreviation of Celluar Neural Network and CoNN has been used as the abbreviation of Cooperative neural networks in the literature as a long time.

关键词： Training Data models Load modeling Classification algorithms Neural networks Real-time systems Mathematical model

来源：评论

学校读者我要写书评

暂无评论

HVLSeg: An Ensemble Model for Instance Segmentation on Satellite images

HVLSeg: An Ensemble Model for Instance Segmentation on Satel...

引用

IEEE Signal processing and Communications Applications (SIU)

作者： İsmail Karakaya Berkan Demirel Orkun Öztörk Murat Bal Emre Başeski HAVELSAN A.Ş. Ankara Türkiye

ISBN: (数字)9781728172064

ISBN: (纸本)9781728172071

Automatic object detection and segmentation algorithms are essential for automatic analysis of high resolution remote sensing images. In order to make automatic analysis more healthy in remote sensing images, the sensitive boundaries of the objects detected in the images should also be segmented. In this study, an approach for automatic detection of aircrafts, ships, buildings/hangars, POL and heliports in electro-optic satellite images is proposed. The developed method is a hybrid approach in which multiple models are used together depending on the target type . The proposed approach won the General Classification first phlce in the automatic target detection competition (Innovative Software Competition) in satellite images organized by SSB and METU OGAM in 2019.

关键词： image segmentation conferences Satellites Object detection Computer vision Amplitude modulation Real-time systems

来源：评论

学校读者我要写书评

暂无评论

Deep learning based image classification and abnormalities analysis of MRI brain images 1

Deep learning based image classification and abnormalities a...

引用

1st International conference on Microwave Integrated Circuits, Photonics and Wireless Networks, IMICPW 2019

作者： Muthu Krishnammal, P. Selvakumar Raja, S. Sathyabama Institute of Science and Technology Faculty of Electronics Tamil Nadu India Khakathiya Institute of Science and Technology for Women Nizamabad India

ISBN: (纸本)9781728110349

Intensive researches are being carried out to study the abnormalities present in the brain structures and to detect the type of tumors based on the statistical and textural features extracted from the medical images. In MRI imaging, the images may be clear but the clinicians have to quantify the size and location of the tumors for further treatment planning. The image processing methodologies and the deep learning methods aid the different stages of treatment such as pre and postsurgical procedures. The images captured by Magnetic Resonance Imaging systems are processed by the different software based algorithms in order to segregate the malicious tumor regions from the non-tumor regions. The proposed method includes three phases: feature extraction, image classification and segmentation of tumors. The important features of the images are extracted with Wavelet transform, a multi-resolution technique. The Convolutional Neural Network, which is a very popular deep learning method is used in image classification stage which is helpful in disease or lesion detection, image classification and then the segmentation methods are used to segregate the infected regions from the rest. The proposed method provides better accuracy in classification and segmentation stages. © 2019 IEEE.

关键词： Tumors

来源：评论

学校读者我要写书评

暂无评论

Evaluating the effectiveness of image quality metrics in a light field scenario 17

Evaluating the effectiveness of image quality metrics in a l...

引用

17th image processing: algorithms and systems conference, IPAS 2019

作者： Arru, Giuliano Battisti, Federica Carli, Marco Department of Engineering Universitá degli Studi Roma Tre Rome Italy

In this contribution, an objective metric for quality evaluation of light field images is presented. The method is based on the exploitation of the depth information of a scene, that is captured with high accuracy by the light field imaging system. The depth map is estimated both from the original and impaired light field data. Then, a similarity measure is applied, and a mapping is performed to link the depth distortion with the perceived quality. Experimental test performed by comparing state-of-art metrics with the proposed one, demonstrate the effectiveness of the proposed metric. © 2019, Society for Imaging Science and Technology.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Machine Learning-Based Threat Identification of Industrial Internet

Machine Learning-Based Threat Identification of Industrial I...

引用

Symposium of image, Signal processing, and Artificial vision (STSIVA)

作者： Junhui Cai Qianmu Li Nanjing University of Science and Technology Nanjing China

ISBN: (数字)9781728170862

ISBN: (纸本)9781728170879

In order to improve production and management efficiency, traditional industrial control systems are gradually connected to the Internet, and more likely to use advanced modern information technologies, such as cloud computing, big data technology, and artificial intelligence. Industrial control system is widely used in national key infrastructure. Meanwhile, a variety of attack threats and risks follow, and once the industrial control network suffers maliciously attack, the loss caused is immeasurable. In order to improve the security and stability of the industrial Internet, this paper studies the industrial control network traffic threat identification technology based on machine learning methods, including GK-SVDD, RNN and KPCA reconstruction error algorithm, and proposes a heuristic method for selecting Gaussian kernel width parameter in GK-SVDD to accelerate real-time threat detection in industrial control environments. Experiments were conducted on two public industrial control network traffic datasets. Compared with the existing methods, these methods can obtain faster detection efficiency and better threat identification performance.

关键词： Machine learning algorithms Industrial control Heuristic algorithms Telecommunication traffic Real-time systems Security Kernel

来源：评论

学校读者我要写书评

暂无评论

image stitching by creating a virtual depth 17

Image stitching by creating a virtual depth

引用

17th image processing: algorithms and systems conference, IPAS 2019

作者： Eid, Ahmed H. Cooper, Brian E. Cholewo, Tomasz J. Lexmark International Inc. LexingtonKY United States

A method for image stitching is presented. The approach focuses on images with parallax (depth variation) to create panoramic views with high fidelity. The approach creates the stitching seam at a virtual depth to convert hard stitching problems to simple ones. The virtual depth is created by applying local distortions to the input images at the stitching seam so that the contents visually appear to be located at the same depth. The presented approach targets a wide variety of applications that require generating high (or super) resolution, wide-view images. These applications include tele-presence (or tele-reality) applications such as shopping, touring, conferencing, planning or architecting, learning, inspection, and surveillance. Our results show that the proposed approach provides promising results compared to commercial products that rely on stitching solutions. © 2019, Society for Imaging Science and Technology.

关键词： Geometrical optics

来源：评论

学校读者我要写书评

暂无评论

Towards virtual Commissioning of image-based Information systems for State Detection in Logistics 9

Towards Virtual Commissioning of Image-based Information Sys...

引用

9th IFAC/IFIP/IFORS/IISE/INFORMS conference on Manufacturing Modelling, Management and Control (IFAC MIM)

作者： Borstell, H. Reggelin, T. Otto Von Guericke Univ Inst Logist & Mat Handling Syst D-39106 Magdeburg Germany

Real-time state detection in logistics supports efficient control and monitoring of logistics processes. State detection is performed via sensor-based technologies that are attached to logistics objects or to elements of the logistics system. Besides other technologies, image-based sensor systems have already proven their potential to fulfill this task. Within the development of image-based sensor systems, a suitable combination of processing modules (e.g. cameras, lighting, algorithms, hardware) have to be found with which state variables can be detected in a specific process environment, which is often characterized by non-cooperative measurement situations, such as poor lighting conditions. This complexity results in a high number of test cases, which are typically performed in laboratory environments within a prototyping stage. This approach involves considerable effort. In order to mitigate this problem, the paper proposes the application of virtual commissioning of image-based information systems for state detection in logistics processes. virtual commissioning can simplify data acquisition of different sensor configurations and subsequent early evaluation of algorithmic models for state detection in logistics processes and thus accelerate design, implementation and testing of image-based information systems for specific environments. However, major challenges such as the variety of tools and expert roles and the integration of virtual commissioning into a process model remain and must be solved in order to establish virtual commissioning of image-based information systems in logistics. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

关键词： logistics virtual commissioning emulation sensor simulation image processing state detection early evaluation

来源：评论

学校读者我要写书评

暂无评论

Dictionary learning-based mr image reconstruction in the presence of speckle noise: Greedy versus convex

Dictionary learning-based mr image reconstruction in the pre...

引用

International conference on Soft Computing and Signal processing, ICSCSP 2018

作者： Manimala, M.V.R. Naidu, C. Dhanunjaya Giri Prasad, M.N. JNTUA Ananthapuramu India VNRVJIET Hyderabad India

ISBN: (纸本)9789811333927

The trend of acquiring samples at a rate far below Nyquist rate is termed as compressive sensing (CS). CS enables the accurate recovery of signals/images by exploiting the underlying sparsity in either transform or signal domain. CS is useful in reducing acquisition time in MR imaging. In this paper, CS based on dictionary learning has been applied for MR imaging in the presence of speckle noise. Performance of two classes of sparse recovery techniques, namely convex optimization and greedy iterative algorithms, has been investigated and compared, when employed for the sparse coding stage of an adaptive patch-based dictionary. Two greedy algorithms, orthogonal matching pursuit (OMP) and compressive sampling matching pursuit (CoSaMP), are considered and contrasted with convex techniques: basis pursuit (BP) and least absolute shrinkage and selection operator (LASSO). Experimentation has been done on spine, knee, and brain image by varying the speckle noise variance, sparsity threshold per patch for various sampling schemes. Results show that convex techniques achieve higher peak signal-to-noise ratio (PSNR) than greedy algorithms in the presence of high noise. © Springer Nature Singapore Pte Ltd. 2019.

关键词： Compressed sensing

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 << < 421 422 423 424 425 426 427 428 429 430 > >>

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：