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

1,646 篇 会议
14 册 图书
11 篇 期刊文献

馆藏范围

1,671 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,182 篇 工学
- 901 篇 计算机科学与技术...
- 598 篇 软件工程
- 324 篇 光学工程
- 279 篇 信息与通信工程
- 258 篇 电气工程
- 174 篇 生物工程
- 153 篇 控制科学与工程
- 122 篇 机械工程
- 108 篇 生物医学工程（可授...
- 57 篇 电子科学与技术（可...
- 48 篇 化学工程与技术
- 48 篇 安全科学与工程
- 47 篇 材料科学与工程（可...
- 38 篇 仪器科学与技术
- 37 篇 交通运输工程
- 26 篇 建筑学
- 25 篇 土木工程
556 篇 理学
- 352 篇 物理学
- 200 篇 数学
- 176 篇 生物学
- 63 篇 化学
- 57 篇 统计学（可授理学、...
213 篇 医学
- 202 篇 临床医学
- 61 篇 基础医学(可授医学...
- 45 篇 药学(可授医学、理...
- 24 篇 公共卫生与预防医...
175 篇 管理学
- 97 篇 管理科学与工程(可...
- 80 篇 图书情报与档案管...
- 31 篇 工商管理
28 篇 农学
- 28 篇 作物学
19 篇 法学
17 篇 经济学
8 篇 教育学
5 篇 军事学
1 篇 文学

主题

307 篇 computer vision
228 篇 image processing
105 篇 image segmentati...
92 篇 feature extracti...
76 篇 deep learning
50 篇 object detection
42 篇 cameras
39 篇 image edge detec...
37 篇 convolutional ne...
34 篇 visualization
34 篇 image recognitio...
32 篇 machine learning
32 篇 image reconstruc...
31 篇 neural networks
30 篇 image color anal...
28 篇 computational mo...
28 篇 shape
28 篇 training
26 篇 image analysis
25 篇 image enhancemen...

机构

6 篇 university of ch...
5 篇 comput & inf sci...
5 篇 department of co...
4 篇 chitkara univers...
4 篇 image processing...
4 篇 beijing institut...
4 篇 college of compu...
3 篇 shanghai jiao to...
3 篇 dept of electr &...
3 篇 south china univ...
3 篇 inria sophia-ant...
3 篇 school of comput...
3 篇 department of ma...
3 篇 shenyang institu...
3 篇 department of co...
3 篇 school of electr...
3 篇 school of comput...
3 篇 college of compu...
3 篇 dept of control ...
3 篇 department of in...

作者

6 篇 andayani u.
5 篇 syahputra m.f.
5 篇 mohana
5 篇 siregar b.
4 篇 yang yang
4 篇 wang wei
4 篇 hassan ghassemia...
4 篇 li hui
4 篇 shohreh kasaei
4 篇 e.j. delp
3 篇 luo haibo
3 篇 paul joseph sure...
3 篇 wang qian
3 篇 ying liu
3 篇 maryam imani
3 篇 saurav sumeet
3 篇 weickert joachim
3 篇 muchtar m.a.
3 篇 xin wang
3 篇 aggarwal j.k.

语言

1,500 篇 英文
165 篇 其他
13 篇 中文
1 篇 土耳其文

检索条件"任意字段=3rd International Conference on Computer Vision and Image Processing, CVIP 2018"

共 1671 条记录，以下是1121-1130 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：

Region Proposal Approach for Human Detection on Aerial imagery

Region Proposal Approach for Human Detection on Aerial Image...

引用

international Multidisciplinary conference on computer and Energy Science (SpliTech)

作者： Željko Marušić Dunja Božić-Štulić Sven Gotovac Tonćo Marušić University of Mostar Mostar BIH University of Split Split Croatia

In this paper we evaluated region proposal based CNN approach in human body detection from aerial perspective. Particular emphasis is on the automation of the detection for supporting search and rescue missions. This challenging task is characterized by two important requirements. The first requirement for proposed algorithm is real-time speed of execution and the other is exceptional detection quality on complex natural environment images. Evaluation is performed on high spatial resolution images with high level of details that were collected by UAV platforms. Evaluated method based on FasterRCNN detection model showed promising preliminary results, as well as fast processing of high resolution images. Overall, detection model achieved 88.3% recall with precision of 67.3%.

关键词： image segmentation Training Proposals Feature extraction Task analysis Unmanned aerial vehicles image resolution

来源：评论

学校读者我要写书评

暂无评论

A Neural Network Based Low-Light image Denoising Method 3

A Neural Network Based Low-Light Image Denoising Method

引用

3rd IEEE international conference on computer and Communications (ICCC)

作者： Zhang, Dan Zhao, Lei Xu, Duanqing Lu, Dongming Zhejiang Univ Dept Comp Sci & Technol Hangzhou Zhejiang Peoples R China

ISBN: (纸本)9781509063529

Low-light image denoising has been a hotspot for its great importance in solving vision applications, and various solutions have been proposed. In recent years, neural network has shown great potential in single image denoising. However, lacking ground truth data, most existing neural network based methods only train on images synthesized by Gaussian noise or Poisson noise or mixed Poisson-Gaussian noise rather than realistic low-light images. In this paper, we introduce a novel convolutional neural network based model for low-light image denoising. In particular, we also present a method to collecting realistic low-light images and our neural network model is trained on the obtained dataset. Evaluating experiment results by the subjective visual observation as well as the objective quality measures shows that the proposed neural network based method is comparable to state-of-the-art.

关键词： component denoising low-light image denoisng neural network image processing

来源：评论

学校读者我要写书评

暂无评论

Application of image processing and Machine Learning for Smart Restaurants

Application of Image Processing and Machine Learning for Sma...

引用

international conference on Computation System and Information Technology for Sustainable Solutions (CSITSS)

作者： Supreeth S. Angadi H. Rachana B.J. Sowmya S. Seema Ramaiah Institute of Technology Bangalore Bangalore India

The idea is to provide a smart package for restaurants using machine learning techniques. The techniques we have used are image processing, association rule generation and sentiment analysis . Main objective is to provide an interface for the customer where he can get complete information about the restaurant. Customer has to click and upload a picture of the restaurant. The system will perform image processing and as a response it will identify the restaurant (just by the picture). Along with identification of the restaurant it will also give the customer the previous reviews about the restaurant. These reviews will help the customer in order to decide whether the restaurant is of his choice or not. Our solution for smart restaurants also includes smart menu card for each restaurant. Here we are performing association rule mining on the previous year's transaction of each restaurant and hence obtain a list of most frequently ordered dishes according to customer's choice and then form combos of the same in order to attract the customers. In the end we have an automated mail generating system which sends an e-mail to all the customers in the restaurants database about the offers they can avail in the restaurants. This will help in getting more customers to the restaurants.

关键词： Sentiment analysis Support vector machines image processing Machine learning computer science Postal services conferences

来源：评论

学校读者我要写书评

暂无评论

De-noising and Feature Enhancement of fMRI Data Based on Naive Bayesian Link Prediction

De-noising and Feature Enhancement of fMRI Data Based on Nai...

引用

international conference on image, vision and Computing (ICIVC)

作者： Jin Huang Xue Mei Xiao Wang College of Electrical Engineering and Control Science Nanjing Tech University Nanjing China Department of Radiology Brain Hospital of Nanjing Medical University Nanjing China

ISBN: (纸本)9781538649923

The traditional functional connectivity network (FCN) is greatly affected by external factors such as head movements, resulting in inaccurate classification results. This paper proposes a link prediction algorithm based on Naive Bayes to reconstruct the FCN. The proposed Naive Bayes-based link prediction algorithm can de-noise and enhance the features of the original FCN. Specifically, the FCN is obtained by matching the AAL template with pre-processing and sliding time windows. Then the Bayesian algorithm is used to change the weight of each node and then expressed by Common Neighbors (CN), Adamic-Adar (AA) and Resource Allocation (RA) coefficients to obtain reconstructed functional connection network. We call the coefficients as Local Naive Bayes Common Neighbors (LNB-CN), Local Naive Bayes Adamic-Adar (LNB-AA) and Local Naive Bayes Resource Allocation (LNB-RA). Finally, the classifier is used to classify the reconstructed network to verify the effectiveness of the proposed algorithm. The use of schizophrenia data provided by the Olin Neuropsychiatry Research Center of Hartford in United States was used to validate the effect of the reconstructed FCN by link prediction. In the experiment, we compared the changes of network characteristics before and after FCN reconstruction, and the classification performance was evaluated using three indicators-accuracy, sensitivity and specificity. The experimental results show that compared with the original FCN, the reconstructed FCN can achieve better results. To some extent, it has helped the diagnosis of brain diseases.

关键词： Indexes Prediction algorithms Functional magnetic resonance imaging Probability Classification algorithms image reconstruction Mathematical model

来源：评论

学校读者我要写书评

暂无评论

A Review of Visual Salient Object Detection

A Review of Visual Salient Object Detection

引用

2018 3rd international conference on Automation,Mechanical Control and Computational Engineering(AMCCE 2018)

作者： XU Hai-shui XIA Lin-yue School of Computer Guangdong University of Technology

vision saliency detection has been applied in image preprocessing steps. The purpose of this paper is to introduce the research direction of image saliency detection and introduce the performance evaluation criteria and datasets of the model. Then investigated a variety of methods, introduced various models and classified models including traditional and deep learning methods, the latest developments, and the problems and challenges of saliency models, and summarized and proposed future research direction.

关键词： Salient object detection image saliency detection salient model salient map

来源：评论

学校读者我要写书评

暂无评论

Automatic Video processing Based on IoT Using Raspberry Pi

Automatic Video Processing Based on IoT Using Raspberry Pi

引用

international conference for Convergence of Technology (I2CT)

作者： Vaishnavi Mande Mandar Lakhe Electronics and Telecommunication Engineering Yeshwantrao Chavan College of Engineering Nagpur India Electronics and Communication Engineering Jigyasa Research and Development centre Nagpur India

In this era of modernization, use of Internet has increased to a huge extent. Automation brought about by technology has saved human efforts to a large extent. The Internet of Things has revolutionized the way of communication. Communication is a powerful tool to exchange information and ideas. The evolution in science and technology which has taken place in the last decade is commendable. Video communication has quickly become a business standard in many industries. Video communication aids in Telecommuting, humanizing the conversation, bridging the communication gap and much more. Video processing is an important process of video communication. Many parameters like video quality, data losses, cost effectivity of model, relative humidity, fog play an important role. Video communication allows businesses to commute more effectively. Hence, a digital system for automatic video processing based on the concept of Internet of Things using Raspberry Pi's has been proposed.

关键词： Internet of Things Graphical user interfaces Python computer vision Libraries Computational modeling

来源：评论

学校读者我要写书评

暂无评论

Human Tracking by a Mobile Robot in Low Illumination Environment

Human Tracking by a Mobile Robot in Low Illumination Environ...

引用

international conference on Circuits, Communication, Control and Computing

作者： Jharna Majumdar Sudip Chandra Gupta N R Giridhar DEAN R&D Prof. and Head Dept. of MTech Computer Science & Engg. Nitte Meenakshi Institute of Technology Bangalore – 560 064 India Research Associate Nitte Meenakshi Institute of Technology Bangalore – 560 064 India Student Dept. of Computer Science & Engg. Nitte Meenakshi Institute of Technology Bangalore – 560 064 India

ISBN: (纸本)9781538684887

Target tracking at a less illuminated environment is a tedious work. In this paper, Adaptive Enhancement algorithms are used as a pre-processing technique. The performance of these methods on real-time scenario has been tested and using Quality Metrix Parameter their usefulness is proved. Particle Filter Based Tracking [5] is used for the purpose of Target/Human Tracking. A mobile robot is used for tracking in low illumination. A robust Control system is required for the robot to efficiently follow the human using the computer vision algorithm. Hence, Linear Quadratic Integral (LQI) has been implemented on the system for velocity control. The velocity of the robot is monitored such that it doesn't crash into the target.

关键词： Mobile robots Probability density function Histograms Target tracking conferences Control systems

来源：评论

学校读者我要写书评

暂无评论

A Mobile Application for Early Detection of Melanoma by image processing Algorithms

A Mobile Application for Early Detection of Melanoma by Imag...

引用

Iranian conference of Biomedical Engineering (ICBME)

作者： Seyed Mohammad Alizadeh Ali Mahloojifar Dept. of Biomedical Engineering Tarbiat Modares University Tehran Iran

ISBN: (纸本)9781538679531;9781538679524

Melanoma is the most dangerous skin cancer which causes many deaths annually. However, early detection can help treat it. For accurate detection of melanoma, dermatologists use biopsy which is usually associated with pain, time and cost. With the advancement of technology and the development of smartphones, many mobile applications have been designed for early detection of melanoma. Although they are fast in the detection of melanoma and save time and money, they are not as accurate as the biopsy. In this paper, the authors proposed an application for early detection of melanoma using image processing methods and pattern recognition algorithms by Android Studio software, Java programming language, and the OpenCV library. All detection steps were carried out using the Android smartphone. For better performance in the classification step, in addition to the smartphone, a computer was also used. This application is user-friendly and the calculated Accuracy, Sensitivity, and Specificity are 95%, 98%, and 92.19% on average, respectively. It should be noted that these results are more reliable when the lesions are geometrically distinct.

关键词： Smart phones Melanoma Lesions image segmentation Support vector machines Biopsy

来源：评论

学校读者我要写书评

暂无评论

Evaluation of Underwater 3D Reconstruction Methods for Archaeological Objects: Case Study of Anchor at Mediterranean Sea 3

Evaluation of Underwater 3D Reconstruction Methods for Archa...

引用

3rd IEEE international conference on Control, Automation and Robotics (ICCAR)

作者： Onmek, Yadpiroon Triboulet, Jean Druon, Sebastien Meline, Arnuad Jouvencel, Bruno Univ Montpellier LIRMM Lab CNRS UMR 5506 161 Rue Ada F-34090 Montpellier 5 France

ISBN: (纸本)9781509060887

The objective of this paper is to develop 3D underwater reconstruction of archeology object, which is based on a mono-camera. The underwater images are obtained from a calibrated camera system. We first solve the problem of image processing by applying the well-known filter, therefore to improve quality of underwater images. The features of interest between image pairs are selected by well-known methods: a FAST detector and FLANN descriptor. Subsequently, the RANSAC method is applied to reject outlier points. The putative inliers are matched by triangulation to produce sparse point clouds in 3D space, using a pinhole camera model and Euclidean distance estimation.

关键词： 3D reconstruction underwater archeology monocamera computer vision

来源：评论

学校读者我要写书评

暂无评论

An Optimized Transform Domain Watermarking Technique for Grayscale images of Medical Applications

An Optimized Transform Domain Watermarking Technique for Gra...

引用

international conference for Convergence of Technology (I2CT)

作者： Naveen Kumar Yadav S. Selvakumar Department of Computer Science and Engineering National Institute of Technology Tiruchirappalli India

Watermarking is a useful technique for copyright management. It is widely used in various types of digital content management application of grayscale and colour images. But as of now, there has been no method to watermark for a grayscale image using a colour image. In this paper, a unique watermarking for the grayscale image scheme in the transform domain has been proposed. The presented technique is suitable for the digital rights and security management of the diagnostic medical images in the online database. The proposed watermarking method is composed of Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD). Additionally, we have used the Firefly Algorithm (FA) to compute appropriate scaling factor to achieve higher perceptibility and robustness. Performance metrics such as PSNR, SSIM, and NCC are used to evaluate the technique. Experimental analysis shows that the proposed technique is 40-45% improved over the existing methods and almost 50% watermark is recoverable under different image processing attacks proving robustness of the technique.

关键词： Watermarking Discrete wavelet transforms Gray-scale image color analysis Singular value decomposition Robustness

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168页 << < 109 110 111 112 113 114 115 116 117 118 > >>

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：