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

15,137 篇 会议
247 篇 期刊文献
227 册 图书
3 篇 学位论文

馆藏范围

15,614 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

8,102 篇 工学
- 5,424 篇 计算机科学与技术...
- 2,796 篇 软件工程
- 2,445 篇 电气工程
- 1,572 篇 信息与通信工程
- 1,012 篇 控制科学与工程
- 834 篇 光学工程
- 573 篇 电子科学与技术（可...
- 555 篇 生物医学工程（可授...
- 551 篇 机械工程
- 513 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
- 181 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
4,118 篇 理学
- 2,773 篇 物理学
- 1,131 篇 数学
- 473 篇 生物学
- 325 篇 系统科学
- 275 篇 统计学（可授理学、...
- 148 篇 化学
1,619 篇 医学
- 1,437 篇 临床医学
- 216 篇 特种医学
- 203 篇 基础医学(可授医学...
- 134 篇 药学(可授医学、理...
860 篇 管理学
- 516 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
39 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...
1,149 篇 signal processin...
794 篇 real-time system...
743 篇 cameras
743 篇 feature extracti...
554 篇 image edge detec...
539 篇 signal processin...
479 篇 image reconstruc...
468 篇 image coding
447 篇 algorithm design...
373 篇 deep learning
368 篇 object detection
346 篇 computer vision
344 篇 hardware
337 篇 image color anal...
337 篇 accuracy
335 篇 real time system...
333 篇 clustering algor...
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

15,258 篇 英文
256 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 15614 条记录，以下是4571-4580 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 Self-Adaption Single image Dehaze Method Based on Clarity-evaluation-function of image

A Self-Adaption Single Image Dehaze Method Based on Clarity-...

引用

International conference on Advanced Mechatronic systems (ICAMechS)

作者： Liang, Yitao Zhao, Kuibin Zhang, Wenqiang Li, Yafei Henan Univ Technol Sch Informat Sci & Engn Zhengzhou 450001 Henan Peoples R China

ISBN: (纸本)9781538671740

The quality of image collected under severe weather such as fog and haze is badly damaged due to the atmospheric scattering. In order to solve the problem that image dehazing algorithms have poor adaptability, which will occur contrast distortion after restoration or cannot eliminating the influence of dense haze, a self-adaption single image dehaze method based on clarity evaluation is proposed to effectively recover the visual effects of the scene. The innovation points of this paper lied in that, first, the haze image is disposed separately according to average value, standard deviation, average gradient, information entropy and other clarity judgment features of the input image;then, the method of self-adaption image quality evaluation and coding decision is introduced to the dehaze results, to output the best effects obtained through comparison of many methods;finally, the clarity judgment is carried out again to output the final results. Experimental results demonstrate that the proposed method can achieve a better dehazing effect, and its chromaticity, luminance and contrast are improved to a certain extent. The universality of dehaze method is further improved.

关键词： clarity judgment self-adaption dehaze evaluation of image quality coding decision

来源：评论

学校读者我要写书评

暂无评论

Ultra-Fast Saliency Detection Using Qr Factorization

Ultra-Fast Saliency Detection Using Qr Factorization

引用

Asilomar conference on Signals, systems & Computers

作者： Tariq Alshawi Electrical Engineering Department King Saud University Riyadh Saudi Arabia

ISBN: (数字)9781728143002

ISBN: (纸本)9781728143019

In this work, we propose an ultra-fast unsupervised saliency detection algorithm based on QR matrix factorization. The algorithm works by dividing an image into blocks and computing the QR factors in each local neighborhood where salient patches correspond to columns in R with largest L 0 norm. Experimental results on the MSRA10K salient object database show that the proposed algorithm is competitive with state-of-the-art real-time saliency detection algorithms in terms of AUC and execution time. Additionally, we study the various parameters that control the performance of the proposed algorithm such as threshold values and processing-block sizes and their effect on the overall performance.

关键词： Saliency detection visualization image color analysis Matrix decomposition Databases Real-time systems Computational modeling

来源：评论

学校读者我要写书评

暂无评论

A Machine Learning Based Music Player by Detecting Emotions

A Machine Learning Based Music Player by Detecting Emotions

引用

International conference on Science Technology Engineering and Management (ICONSTEM)

作者： S. Deebika K. A. Indira Jesline St. Joseph's College of Engineering Chennai Tamilnadu India

ISBN: (纸本)9781728116006

The paper constitutes the implementation of Convolutional neural network for the emotion detection and thereby playing a song accordingly. Segregating the songs and playing them in accordance to one's mood could facilitate the music lover. Although there exist a lot of algorithms designed for it, the computation is not as expected. This paper eradicates such an issue by using CNN. In order to obtain minimal processing, multilayer perceptron are implemented by CNNs. In comparison to various algorithms for image classification, CNNs observed to have little-processing. This implies that the filters used in CNNs are advantageous when compared to traditional algorithm. The visualization of features directly can be less informative. Hence, we use the training procedure of back-propagation to activate the filters for better visualization. The multiple actions such as capturing, detecting the emotion and classifying the same can all be confined as one step through the use of CNN. The slow performances of the real-time approaches could be enhanced by regularizing the methods and by visualizing the hidden features. Hence the proposed approach could enhance the accuracy and the computation speed.

关键词： Feature extraction Mood Support vector machines Face Emotion recognition Recommender systems image edge detection

来源：评论

学校读者我要写书评

暂无评论

MFCC coefficient and ANN classifier applied to roadway classification

MFCC coefficient and ANN classifier applied to roadway class...

引用

International conference on Microelectronics, ICM

作者： Mohamed Atibi Mohamed Boussaa Issam Atouf Abdellatif Bennis Mohamed Tabaa LPRI Lab EMSI Casablanca Casablanca Morocco LTI Lab Faculty of Science Ben M'sik Hassan II University of Casablanca Casablanca Morocco

ISBN: (数字)9781728140582

ISBN: (纸本)9781728140599

Currently, Intelligent driver assistance systems provide more satisfactory solutions to the field of road safety. These are based on the use of powerful image or signal processing algorithms in terms of speed, accuracy of calculation and decision making. This document describes an intelligent roadway classification system in real-time in 4 classes: asphalt, gravel, snow and stone road. This system relies on the use and combination of two algorithms; the Mel Frequency Cepstrum Coefficient algorithm that extracts the characteristics of each type of road from the sound due to friction of the vehicle wheels with the road, and Multilayer Perceptron algorithm, which receives its characteristics to its inputs and classifies them. This document also describes the stages of the process of learning and testing. The robustness of this system is shown by the obtained satisfactory experimental results that combine between the respective advantages of the MFCC descriptor and MLP classifier.

关键词： Roads Signal processing algorithms Mel frequency cepstral coefficient Artificial neural networks Classification algorithms Neurons Feature extraction

来源：评论

学校读者我要写书评

暂无评论

Object Recognition for the visually Impaired

Object Recognition for the Visually Impaired

引用

International conference on Nascent Technologies in the Engineering Field (ICNTE)

作者： Heetika Gada Vedant Gokani Abhinav Kashyap Amit A. Deshmukh D. J. Sanghvi College of Engineering

Today images and videos are everywhere. In fact, the sheer quantity of images on social media and networking sites is unfathomable. Every device is now fitted with a camera. This opens up huge possibilities. Object Recognition is a process of detecting an object and identifying it using various image algorithms. The main purpose of this paper is to recognize objects in real time and allot the objects to the classes that are previously defined. The algorithms that we utilized are more computationally efficient. Previously, object detection was done using RFID and IR technologies which required dedicated hardware. But with the advent of image processing and neural networks, we require almost no new hardware. Almost everything has camera these days from pens to mobile phones. This has given rise to a new field called computer vision i.e. using pictures and videos to detect, segregate and track objects or events so that we can “understand” a real world scenario.

关键词： Cameras Object recognition Real-time systems Object detection Hardware image edge detection

来源：评论

学校读者我要写书评

暂无评论

Research on yhe Approximation Properties of Two-Dimensional Stochastic Bases in image Reconstruction Problems

Research on yhe Approximation Properties of Two-Dimensional ...

引用

International conference on Complex systems: Control and Modeling Problems (CSCMP)

作者： vitaliy Batishchev Aleksey Zolin Vladimir Yakimov Samara StateTechnical University Samara Russia

This paper discusses the problems of constructing a basis for two-dimensional stochastic functions, which are samples of random numbers with a given distribution law. The algorithm for constructing an approximation model with the use of this basis is described. The general algorithm for two-dimensional signal recovery using the stochastic basis by the least squares method with a given weight function is given. The approach to solving the problem of recovery of blurred images with a known point scattering function by constructing an inverse filter model is proposed. The approbation of the algorithms was performed on model examples and in the processing of real images obtained by remote sensing of the Earth. To quantify the quality of the recovery, we used a relative root mean square measurement of the difference between the reference and reconstructed images.

关键词： approximation theory image reconstruction mean square error methods stochastic processes Mean square error image reconstruction Approximation Theory Markov chain Earth remote sensing Stochastic Processes Signal restoration Stochastic random numbers WEIGHTING FUNCTIONS

来源：评论

学校读者我要写书评

暂无评论

Model for Performance Evaluation of Web Service in Cloud on image Consumption on Mobile Devices

Model for Performance Evaluation of Web Service in Cloud on ...

引用

Iberian conference on Information systems and Technologies (CISTI)

作者： Rosangela Maria de Melo Ivanildo José de Melo Filho vicente de Paulo F. Marques Sobrinho Igor Oliveira Costa Maria Clara dos Santos Bezerra Eliomar Gomes da Costa Josilene Almeida Brito Fábio Denilson de Oliveira Feliciano Federal Institute of Pernambuco (IFPE) - Campus Paulista Pernambuco Brasil Federal Institute of Espirito Santo (IFES) - Campus Vitória Vitória - Espirito Santo - Brasil Universidade Federal de Pernambuco Recife PE BR Federal Institute of Sertão Pernambuco (IF- Sertão) - Campus Petrolina - Pernambuco Brasil Federal Institute of Pernambuco (IFPE) - Campus Belo Jardim Pernambuco Brasil

ISBN: (纸本)9781728115528

This work has two objectives to be achieved. The first goal is to evaluate the performance of a Webservice in the cloud environment by analyzing the sending of images to mobile devices focused on social networking applications. From this evaluation, the second objective proposes strategies to mitigate the effects of delays in the display of these images, in order to optimize the quality of the service. The methodological process consisted in the planning and execution of experiments to evaluate the performance of different scenarios with different amounts of images, resolutions and database for storage. The Eucalyptus platform was defined as the Cloud environment, and a Webservice sending persistent images in NoSQL Databases to a mobile device. The results highlight that the parameter that influences the performance of the image consumption in mobile devices through the WebService is the processing of the images in the mobile device itself. The results obtained confirm that to optimize the image consumption performance in mobile devices, it is necessary to build efficient and adherent algorithms for image processing on the device screen.

关键词： Cloud computing Mobile handsets Performance evaluation Computational modeling Informatics image resolution

来源：评论

学校读者我要写书评

暂无评论

2nd International conference on Smart Innovations in Communications and Computational Sciences ICSICCS-2018

2nd International Conference on Smart Innovations in Communi...

引用

2nd International conference on Smart Innovations in Communications and Computational Sciences ICSICCS-2018

ISBN: (纸本)9789811324130

The proceedings contain 47 papers. The special focus in this conference is on Smart Innovations in Communications and Computational Sciences. The topics include: Computer vision-Based Fruit Disease Detection and Classification;Automated Brain Tumor Detection Using Discriminative Clustering Based MRI Segmentation;cancer Prediction Based on Fuzzy Inference System;energy Consumption Data Analysis and Operation Evaluation of Green Buildings;the Method of Random Generation of Electronic Patrol Path Based on Artificial Intelligence;Channel Power Estimation for DVBRCS to DVBS2 Onboard DSP Payload;a Slotted Microstrip Patch Antenna for 5G Mobile Phone Applications;reliability Study of Sensor Node Monitoring Unattended Environment;RSOM-Based Clustering and Routing in WSNs;real-Time Meta Learning Approach for Mobile Healthcare;Evaluation of Received Signal Strength Indicator (RSSI) for Relay-Based Communication in WBAN;side-Channel Attacks on Cryptographic Devices and Their Countermeasures—A Review;implementation and Analysis of Different Path Loss Models for Cooperative Communication in a Wireless Sensor Network;Parallel Approach for Sub-graph Isomorphism on Multicore System Using OpenMP;optimized Solution for Employee Transportation Problem Using Linear Programming;spectrum Prediction Using Time Delay Neural Network in Cognitive Radio Network;Reliability Factor Based AODV Protocol: Prevention of Black Hole Attack in MANET;a Survey of Lightweight Cryptographic algorithms for IoT-Based Applications;fruit Disease Detection Using Rule-Based Classification;Fault Tolerance Through Energy Balanced Cluster Formation (EBCF) in WSN;firearm Detection from Surveillance Cameras Using image processing and Machine Learning Techniques;Mining Social Networks: Tollywood Reviews for Analyzing UPC by Using Big Data Framework;cloud-Based E-Learning: Using Cloud Computing Platform for an Effective E-Learning.

关键词：

来源：评论

学校读者我要写书评

暂无评论

IoT based Plant Monitoring and Identification using Low-Cost image Sensors

IoT based Plant Monitoring and Identification using Low-Cost...

引用

Annual conference of the IEEE Industrial Electronics Society

作者： Afagh Mohagheghi Mehrdad Moallem School of Mechatronic Systems Engineering Simon Fraser University BC Canada

This paper presents an intelligent crop monitoring system consisting of a controlled growing chamber, dimmable LED lights, imaging array, cloud data storage, and data processing components. The system is implemented using low-cost imaging sensors integrated with image recognition algorithms. A modified naive bayes classifier is developed for crop monitoring that estimates key color features of plants and utilizes them to identify plants as belonging to a specific plant type/class. The resulting data-base is continuously enhanced using the results of the analysis. Furthermore, the updated database is utilized to retrain the classifier periodically to account for the changing environmental and plant conditions. A series of experiments are presented that verify performance of the developed system.

关键词： Classification algorithms Monitoring image sensors Cloud computing Light emitting diodes Cameras

来源：评论

学校读者我要写书评

暂无评论

A simple motion deblurring method by two continuous images

A simple motion deblurring method by two continuous images

引用

International conference on Informative and Cybernetics for Computational Social systems (ICCSS)

作者： Jihai Zhang Jianfeng Li Guangyuan Liu Tong Chen Tengteng Zhu Bo Li The Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Chongqing China

ISBN: (数字)9781728158570

ISBN: (纸本)9781728158587

Restoring blurred images to clear images is a challenging problem. Most previous methods only analyzed the single image. However, for motion blurring, this method missed the key trajectory description process. Based on the essence of motion blur, our research combined the continuous frame image information in video to estimate the motion track, the SIFT algorithm was proposed for the first time to match the feature points of the target in the continuous frame image. The accurate motion blur angle and motion blur distance were obtained by combining the matching information to obtain an accurate PSF. Finally, the Wiener filtering algorithm combined with PSF was used for deblurring. Experiments showed that the proposed method can improve the image sharpness after restoration compared with the previous algorithms.

关键词： motion blur continuous frame image deblurring PSF SIFT motion blur deblurring Point spread function Sifting SHARPNESS OF image images Continuous structures continuous image

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 << < 454 455 456 457 458 459 460 461 462 463 > >>

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：