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

12,619 篇 会议
197 篇 期刊文献
163 册 图书
1 篇 学位论文

馆藏范围

12,980 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

6,575 篇 工学
- 4,317 篇 计算机科学与技术...
- 2,198 篇 软件工程
- 1,913 篇 电气工程
- 1,291 篇 信息与通信工程
- 821 篇 控制科学与工程
- 664 篇 光学工程
- 460 篇 生物医学工程（可授...
- 448 篇 电子科学与技术（可...
- 445 篇 机械工程
- 420 篇 仪器科学与技术
- 316 篇 生物工程
- 241 篇 测绘科学与技术
- 156 篇 材料科学与工程（可...
- 149 篇 航空宇航科学与技...
- 134 篇 交通运输工程
- 102 篇 安全科学与工程
- 87 篇 网络空间安全
3,176 篇 理学
- 2,127 篇 物理学
- 906 篇 数学
- 358 篇 生物学
- 244 篇 系统科学
- 225 篇 统计学（可授理学、...
- 119 篇 化学
1,431 篇 医学
- 1,268 篇 临床医学
- 196 篇 特种医学
- 158 篇 基础医学(可授医学...
- 101 篇 药学(可授医学、理...
694 篇 管理学
- 420 篇 管理科学与工程(可...
- 295 篇 图书情报与档案管...
- 86 篇 工商管理
58 篇 农学
56 篇 法学
30 篇 教育学
27 篇 文学
26 篇 经济学
18 篇 军事学
17 篇 艺术学
1 篇 哲学

主题

2,646 篇 image processing
1,385 篇 image segmentati...
1,140 篇 signal processin...
613 篇 cameras
595 篇 feature extracti...
583 篇 image edge detec...
530 篇 signal processin...
466 篇 image coding
465 篇 image reconstruc...
461 篇 real-time system...
387 篇 algorithm design...
334 篇 image color anal...
309 篇 deep learning
307 篇 pixel
305 篇 image enhancemen...
299 篇 real time system...
293 篇 object detection
289 篇 computer archite...
285 篇 hardware
284 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 university of to...
9 篇 tongji universit...
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 ...
8 篇 lockheed martin ...
7 篇 school of electr...

作者

19 篇 anon
13 篇 de-shuang huang
12 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

12,683 篇 英文
209 篇 其他
75 篇 中文
20 篇 土耳其文
3 篇 葡萄牙文
2 篇 德文
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 VII"

共 12980 条记录，以下是4701-4710 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：

Robust Text Detection and Recognition in Blurred images

Robust Text Detection and Recognition in Blurred Images

引用

International conference On Soft Computing systems (ICSCS)

作者： George, Sonia Jagadeesh, Noopa Mahatma Gandhi Univ Fed Inst Sci & Technol Comp Sci & Engn Angamaly Kerala India

ISBN: (纸本)9788132226710;9788132226697

In this paper, we propose a novel method for detecting and recognizing the text from the blurred images. Text detection in natural scenery images is an important issue in the processing stage. All the previously proposed methods use different algorithms to detect text in images;however, they suffer from poor performance while performing detection in blurred images. The proposed algorithm is capable of removing blur with an iterative deconvolution method and a linear invariant filter. The proposed method can achieve detection and recognition of the text with a time complexity of 4.53 s. Experiments show our method achieves a better text detection than the other existing methods.

关键词： Text detection Text recognition image deblurring Text segmentation

来源：评论

学校读者我要写书评

暂无评论

Oil Spill Detection Using Hyperspectral Infrared Camera 4

Oil Spill Detection Using Hyperspectral Infrared Camera

引用

conference on Infrared, Millimeter-Wave, and Terahertz Technologies IV

作者： Yu Hui Wang Qun Zhang Zhen Zhang Zhi-jie Tang wei Tang Xin Yue Song Wang Chen-sheng Huazhong Inst Electropt Wuhan Natl Lab Optoelect 717 Yangguang Rd Wuhan 430074 Peoples R China State Ocean Adm North China Sea Marine Tech Support Ctr 22 Fushun Rd Qingdao Peoples R China

ISBN: (纸本)9781510604797;9781510604803

Oil spill pollution is a severe environmental problem that persists in the marine environment and in inland water systems around the world. Remote sensing is an important part of oil spill response. The hyperspectral images can not only provide the space information but also the spectral information. Pixels of interests generally incorporate information from disparate component that requires quantitative decomposition of these pixels to extract desired information. Oil spill detection can be implemented by applying hyperspectral camera which can collect the hyperspectral data of the oil. By extracting desired spectral signature from hundreds of band information, one can detect and identify oil spill area in vast geographical regions. There are now numerous hyperspectral image processing algorithms developed for target detection. In this paper, we investigate several most widely used target detection algorithm for the identification of surface oil spills in ocean environment. In the experiments, we applied a hyperspectral camera to collect the real life oil spill. The experimental results shows the feasibility of oil spill detection using hyperspectral imaging and the performance of hyperspectral image processing algorithms were also validated.

关键词： oil spill hyperspectral image processing classification feature extraction

来源：评论

学校读者我要写书评

暂无评论

Combinatorial energy learning for image segmentation 30

Combinatorial energy learning for image segmentation

引用

30th Annual conference on Neural Information processing systems, NIPS 2016

作者： Maitin-Shepard, Jeremy Jain, Viren Januszewski, Michal Li, Peter Abbeel, Pieter UC Berkeley United States Google United States

We introduce a new machine learning approach for image segmentation that uses a neural network to model the conditional energy of a segmentation given an image. Our approach, combinatorial energy learning for image segmentation (CELIS) places a particular emphasis on modeling the inherent combinatorial nature of dense image segmentation problems. We propose efficient algorithms for learning deep neural networks to model the energy function, and for local optimization of this energy in the space of supervoxel agglomerations. We extensively evaluate our method on a publicly available 3-D microscopy dataset with 25 billion voxels of ground truth data. On an 11 billion voxel test set, we find that our method improves volumetric reconstruction accuracy by more than 20% as compared to two state-of-the-art baseline methods: graph-based segmentation of the output of a 3-D convolutional neural network trained to predict boundaries, as well as a random forest classifier trained to agglomerate supervoxels that were generated by a 3-D convolutional neural network. © 2016 NIPS Foundation - All Rights Reserved.

关键词： image segmentation

来源：评论

学校读者我要写书评

暂无评论

Hilbert-Huang Transform and its Application in Seismic Signal processing

Hilbert-Huang Transform and its Application in Seismic Signa...

引用

International conference on New Trends in Signal processing (NTSP)

作者： Beresik, Roman Armed Forces Acad Gen MR Stefanik Dept Elect Liptovsky Mikulas Slovakia

ISBN: (纸本)9788080405298

The detection of targets in military and security applications involves the usage of sensor systems which consist of a variety of sensors such as seismic, acoustic, magnetic and image ones as well. In order to extract signal features, which characterize particular targets, using of appropriate signal processing algorithms is required. Seismic signals can be considered as nonstationary and nonlinear signals especially in near-field seismic zone. Most of the signal processing algorithms assumed that signals are linear and stationary. However, in many cases this assumption is not valid, especially in case of seismic signals generated by moving vehicles, walking persons or gunfire activity. There are several methods which can be used for seismic signal processing, like short-time Fourier transform (STFT), Wavelet transform (WT) and Wigner-Ville distribution (WVD). The paper presents the concept of the seismic sensor system based on Micro-Electro-Mechanical-System (MEMS) sensor SF1500S.A dedicated to vehicle detection. The main part of the paper deals with application of the Hilbert-Huang transform (HHT) to seismic signal processing in time and time-frequency domain. In conclusion, the outcomes of experiments provide comparison of HHT and STFT efficiency in terms of seismic features description of moving vehicle.

关键词： seismic signal signal decomposition Hilbert-Huang transform time-frequency analysis vehicle detection

来源：评论

学校读者我要写书评

暂无评论

CS-MRA reconstruction based on nonsubsampled contourlet transform in frequency domain (NSCT-FD)

CS-MRA reconstruction based on nonsubsampled contourlet tran...

引用

International conference on systems and Informatics (ICSAI)

作者： Yang Heng Xiu-mei Chen Wei Wang Min Tang School of Electronics and Information Nantong University Nantong China

Compressed sensing (CS) is a novel developed theoretical framework for information acquisition and processing. Taking advantages of the sparsity or compressibility inherent in real world signals, CS can collect compressed data at the sampling rate much lower than that needed in Shannon's theorem. When it has been used for medical imaging techniques, CS theory can fast the scanning speed of MRI, reduce the radiation doses and alleviate the patients' suffering. In order to obtain the effective sparse representation, the nonsubsampled contourlet transform in the frequency domain (NSCT-FD) is adopted, then an improved fast iterative soft thresholding algorithm (FISTA) is applied for CS-MRA reconstruction. This novel method not only inherits the simplicity and effectiveness of the original FISTA, and the sparse curvy representation ability of the contourlet transform, but also has the advantages of the shift-invariant property and much less computational burden. The performance is evaluated qualitatively and quantitatively both in noiseless and noisy situations, compared to the classic wavelet and the sharp frequency localization contourlet transform (SFLCT) method. Three quantitative indices are employed including the peak signal to noise ratio (PSNR), mutual information (MI) and relative l 2 norm error (RLNE) and qualitative performance evaluations use the profiles in horizontal direction and local region magnification comparison. Experimental results demonstrate the superiority of the NSCT-FD algorithm, displaying higher PSNR and MI, and lower RLNE indices in both noiseless and noisy MRA images, which have good reconstruction accuracy with reasonable real time computation speed. It is manifest that the NSCT-FD algorithm can be applied in fast medical imaging fields to achieve quality images in a relatively fast process, which will benefit cardiac and carotid MRI, dynamic MRI and MRA.

关键词： Transforms image reconstruction Filter banks Frequency-domain analysis Algorithm design and analysis Filtering algorithms

来源：评论

学校读者我要写书评

暂无评论

Improving the Performance of Vehicle Detection System in Bad Weathers

Improving the Performance of Vehicle Detection System in Bad...

引用

2016 IEEE Advanced Information Management,Communicates,Electronic and Automation Control conference(IMCEC 2016)

作者： Xuerui Dai Xue Yuan Jing Zhang Liping Zhang School of electronic and Information Beijing Jiaotong University Naval Aeronautical Engineering Institute Beijing Huahang Radio Measurement Institute

ISBN: (纸本)9781509001668

Vehicle detection has been applied in many fields,such as intelligent transportation,video surveillance,driving assistance system and so *** the case of fine weather,the state-of-the-art vehicle-detection systems may achieve good ***,the performance has a substantial decline in bad weathers,such as fog,night and so ***,improving the performance of vehicle-detection systems in different weather conditions becomes an important issue in vehicle-detection *** the fog or night,the quality of the images is *** this paper,we propose some algorithms of image defogging and color enhancement in order to improve the performance of vehicle *** result of vehicle detection get much better after image processing in bad weathers.

关键词： Vehicle detection bad weathers image defogging color enhancement

来源：评论

学校读者我要写书评

暂无评论

Automation of Solar System for Maximum Power Point Tracking using IoT 16

Automation of Solar System for Maximum Power Point Tracking ...

引用

1st International conference on Informatics and Analytics (ICIA)

作者： Sujatha, K. Ponmagal, R. S. Godhavari, T. Dr MGR Educ & Res Inst Ctr Elect Automat & Ind Res CEAIR EEE Dept Chennai Tamil Nadu India Dr MGR Educ & Res Inst CSE Dept Chennai Tamil Nadu India Dr MGR Educ & Res Inst ECE Dept Chennai Tamil Nadu India

ISBN: (纸本)9781450347563

The importance of this paper focuses on the efficiency of the solar panel which can be increased by incorporating indigenous solar tracking systems in order to increase solar panel efficiency. The implementation necessitates precise control which is important to build a refined tracking system. A solar tracking system with Artificial Neural Network (ANN) based image processing (IPT) Techniques to estimate the astronomical aspects of the sun from Global Positioning System (GPS) and machine vision image sensor is proposed here. The features extracted using IP algorithms with a decision making AI process is adopted to differentiate whether the present weather condition is sunny or cloudy. With reference to the results obtained, the solar tracking system establishes the usage of astronomical calculations approximately. The proposed hi-tech arrangement is evaluated and validated through experimentation results which are made available on the cloud service for coordination.

关键词： Internet of Things Automatic solar tracking system image processing Artificial neural networks Maximum power point tracking cloud computing

来源：评论

学校读者我要写书评

暂无评论

Design of Smartphone-Based Wound Assessment System 1

Design of Smartphone-Based Wound Assessment System

引用

International conference on Automatic Control and Dynamic Optimization Techniques (ICACDOT)

作者： Dalya, Vidyashree Shedge, D. K. AISSMSs Inst Informat Technol Dept Elect Engn Pune Maharashtra India AISSMSs Inst Informat Technol Pune Maharashtra India

ISBN: (纸本)9781509020805

The physical condition that affects the way the human body processes sugar (glucose) is known as diabetes. It is an alarming issue and is one of the major causes to prolong human wounds. Wounds examination process involves an expertise and constant follow ups to check and recommend wound details. This is a costly process and troublesome in case of bed ridden patients. Various systems like MEdical Digital PHOtogrammetric System (MEDPHOS), Measurement of Area and Volume Instrument System (MAVIS) have been developed for wound assessment. The systems suffer from high cost and maintenance. Moreover, these also need an expertise to perform assessment. As smart phones have become the part and parcel of our lives,, this project attempts to make use of Smart phones with a high-resolution digital camera, assessing wounds by analyzing images of chronic foot ulcers. In this paper, we have developed an android based smartphone based solution involving the patients or hospital nurses actively. Additionally, we have also developed an online "Experts review" system which would send the image analysis notifications to the user. The proposed system consist of an android-based PC application. The user captures the image and uploads the image to the database. The image is then processed against the K-shift algorithm. The inferences like the wound status are then sent to the user and the image is also sent for expert review. The experts then examine the image, and based on the status of the wounds, they suggest for any changes in the treatment. Our simulation results show that the wound detection using K-mean shift algorithms gave good accuracy of approximately 80%. This shows that with this smart phone system provides promising accuracy for wound image analysis.

关键词： diabetes android based smartphone mean shift image processing

来源：评论

学校读者我要写书评

暂无评论

The Cropland Capture Game: Good Annotators Versus Vote Aggregation Methods 4th

引用

4th International conference on Computer Science, Applied Mathematics and Applications (ICCSAMA)

作者： Baklanov, Artem Fritz, Steffen Khachay, Michael Nurmukhametov, Oleg See, Linda Int Inst Appl Syst Anal Laxenburg Austria Krasovsky Inst Math & Mech Ekaterinburg Russia Ural Fed Univ Ekaterinburg Russia

ISBN: (纸本)9783319388847;9783319388830

The Cropland Capture game, which is a recently developed Geo-Wiki game, aims to map cultivated lands using around 17,000 satellite images from the Earth's surface. Using a perceptual hash and blur detection algorithm, we improve the quality of the Cropland Capture game's dataset. We then benchmark state-of-the-art algorithms for an aggregation of votes using results of well-known machine learning algorithms as a baseline. We demonstrate that volunteer-image assignment is highly irregular and only good annotators are presented (there are no spammers and malicious voters). We conjecture that the last fact is the main reason for surprisingly similar accuracy levels across all examined algorithms. Finally, we increase the estimated consistency with expert opinion from 77 to 91% and up to 96% if we restrict our attention to images with more than 9 votes.

关键词： Crowdsourcing image processing Votes aggregation

来源：评论

学校读者我要写书评

暂无评论

Anatomy-Aware Measurement of Segmentation Accuracy

Anatomy-Aware Measurement of Segmentation Accuracy

引用

conference on Medical Imaging - image processing

作者： Tizhoosh, H. R. Othman, A. A. Univ Waterloo KIMIA Lab 200 Univ Ave West Waterloo ON Canada Suez Canal Univ Dept Informat Syst Comp & Informat Ismailia Egypt

ISBN: (纸本)9781510600195

Quantifying the accuracy of segmentation and manual delineation of organs, tissue types and tumors in medical images is a necessary measurement that suffers from multiple problems. One major shortcoming of all accuracy measures is that they neglect the anatomical significance or relevance of different zones within a given segment. Hence, existing accuracy metrics measure the overlap of a given segment with a ground-truth without any anatomical discrimination inside the segment. For instance, if we understand the rectal wall or urethral sphincter as anatomical zones, then current accuracy measures ignore their significance when they are applied to assess the quality of the prostate gland segments. In this paper, we propose an anatomy-aware measurement scheme for segmentation accuracy of medical images. The idea is to create a "master gold" based on a consensus shape containing not just the outline of the segment but also the outlines of the internal zones if existent or relevant. To apply this new approach to accuracy measurement, we introduce the anatomy-aware extensions of both Dice coefficient and Jaccard index and investigate their effect using 500 synthetic prostate ultrasound images with 20 different segments for each image. We show that through anatomy-sensitive calculation of segmentation accuracy, namely by considering relevant anatomical zones, not only the measurement of individual users can change but also the ranking of users' segmentation skills may require reordering.

关键词： image segmentation Gold Prostate Magnesium image processing algorithms and systems Tumors Ultrasonography Buildings Accuracy assessment Shape analysis

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 << < 467 468 469 470 471 472 473 474 475 476 > >>

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：