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4401-4410 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：

Application of superpixel segmentation and morphological projector for structural changes detection in remote sensing images 5

Application of superpixel segmentation and morphological pro...

引用

5th International conference on Information Technology and Nanotechnology, ITNT 2019

作者： Denisova, A.Y. Egorova, A.A. Sergeyev, V.V. Samara National Research University Moskovskoe Shosse 34A Samara443086 Russia Image Processing Systems Institute of RAS-Branch of the FSRC Crystallography and Photonics RAS Molodogvardejskaya street 151 Samara443001 Russia

Detection of structural changes in images is one of the important tasks of remote sensing (RS) data thematic analysis. The effective way to solve it is applying the Pyt'ev's morphological projector to the pair of images of the same scene acquired on different dates. The main advantage of this method is its invariance to global brightness transformations, which in the case of RS images correspond to different parameters of the atmosphere or the different values of the brightness-contrast ratio of the scene. However, the classical Pyt'ev's morphological projector and its regularized versions do not take into account the spatial connectivity of image samples. As a result, they ignore the textural features of images. In this article, we suggest the algorithm of structural changes detection based on superpixel segmentation and Pyt'ev's morphological projector that takes into account local characteristics of the image pixels. In the experimental research, we analyzed the accuracies of the proposed and classical Pyt'ev's structural change detection methods using simulated and real RS images. The comparison of two algorithms showed that the proposed method is more robust to the additive white Gaussian noise (AWGN) at different values of signal-To-noise (SNR) ratio. Additionally, the experiments with nonlinear brightness distortions (vignetting) of one of the pair of images demonstrated that the proposed method has lower false positive rates than the classical one. © Published under licence by IOP Publishing Ltd.

关键词： Luminance

来源：评论

学校读者我要写书评

暂无评论

A study on image segmentation in curvelet domain using snakes and fractals for cancer detection in mammograms

A study on image segmentation in curvelet domain using snake...

引用

International conference on Soft Computing and Signal processing, ICSCSP 2018

作者： Roopa Chandrika, R. Karthik, S. Karthikeyan, N. Department of Information Technology Malla Reddy College of Engineering and Technology HyderabadTelangana India Department of Computer Applications SNS College of Engineering and Technology CoimbatoreTamil Nadu India Department of Computer Applications SNS College of Engineering CoimbatoreTamil Nadu India

ISBN: (纸本)9789811333927

Breast cancer is one of the common diseases that affect the quality of life in women. To improve the mortality rate, screening procedures are recommended by medical practitioners. The procedure involves detecting and diagnosing the suspected regions. Detecting the suspected regions in the digital mammograms is a challenging task. In this work, multiresolution analysis is done to resolve the curve discontinuities and procedures like fractals and snakules are applied for segmenting the suspected region. The algorithms have been tested on mini-MIAS and observed that snakes have identified the regions better than fractals. Snakes are able to converge within few iterations determining the circumference of the suspected region and also able to differentiate tumorous and non-tumorous regions. © Springer Nature Singapore Pte Ltd. 2019.

关键词： Fractals

来源：评论

学校读者我要写书评

暂无评论

Real Time Vein visualization using Near-Infrared Imaging

Real Time Vein Visualization using Near-Infrared Imaging

引用

Computational Intelligence (ICCI),International conference on

作者： Hia Yee May Ferda Ernawan Faculty of Computing Universiti Malaysia Pahang Gambang Kuantan Malaysia

ISBN: (数字)9781728184081

ISBN: (纸本)9781728184104

Vein visualization is one of the most researched biomedical technique. Although the concept behind the technique is not complicated, the vein pattern acquisition method and the design and implementation of image processing algorithms become challenging. Nowadays, the major challenge faced by the medical practitioners is the difficulty in accessing subcutaneous veins for intra-venous injections due to various factors like low visibility of vein by naked eyes and patients with too narrow veins. Failure during venipuncture may lead to several problems like bruises, bleeding and rashes. Therefore, the real time vein visualization system is developed accordance with the objective of visualizing subcutaneous veins which is to assist medical practitioners by providing them visual guidance during venipuncture process. This system is developed based on near-infrared imaging and is connected to the monitor screen. The development stage includes edge detection, vein segmentation and vein visualization. Evolutionary prototyping method is used to develop the system and to ensure the quality of the final system through a few prototype refinement cycles. OpenCV library is also used for its real-time functionalities. The functionality of the system is evaluated through a series of planned system tests. The experimental results show that the proposed system is able to show the veins pattern.

关键词： visualization Veins Prototypes Real-time systems Skin Monitoring Biomedical imaging

来源：评论

学校读者我要写书评

暂无评论

Efficient Scene Compression for visual-based Localization

Efficient Scene Compression for Visual-based Localization

引用

International conference on 3D Imaging, Modeling, processing, visualization and Transmission (3DIMPVT)

作者： Marcela Mera-Trujillo Benjamin Smith victor Fragoso West Virginia University Microsoft

ISBN: (数字)9781728181288

ISBN: (纸本)9781728181295

Estimating the pose of a camera with respect to a 3D reconstruction or scene representation is a crucial step for many mixed reality and robotics applications. Given the vast amount of available data nowadays, many applications constrain storage and/or bandwidth to work efficiently. To satisfy these constraints, many applications compress a scene representation by reducing its number of 3D points. While state-of-the-art methods use K-cover-based algorithms to compress a scene, they are slow and hard to tune. To enhance speed and facilitate parameter tuning, this work introduces a novel approach that compresses a scene representation by means of a constrained quadratic program (QP). Because this QP resembles a one-class support vector machine, we derive a variant of the sequential minimal optimization to solve it. Our approach uses the points corresponding to the support vectors as the subset of points to represent a scene. We also present an efficient initialization method that allows our method to converge quickly. Our experiments on publicly available datasets show that our approach compresses a scene representation quickly while delivering accurate pose estimates.

关键词： Three-dimensional displays Support vector machines visualization Cameras Optimization image coding Robot vision systems

来源：评论

学校读者我要写书评

暂无评论

A Surgical-Oriented Liver Segmentation Approach Using Deep Learning

A Surgical-Oriented Liver Segmentation Approach Using Deep L...

引用

Informatics, IoT, and Enabling Technologies (ICIoT), IEEE International conference on

作者： Alhusain Abdalla Nouraldeen Ahmed Sarada Dakua Shidin Balakrishnan Julien Abinahed Hamad Medical Corporation Doha Qatar Universiti Teknologi Malaysia Johor Bahru Malaysia

ISBN: (数字)9781728148212

ISBN: (纸本)9781728148229

Accurate organ segmentation is nowadays considered indispensable in typical surgical pipelines. Over the last couple of decades, researchers and clinicians have been driven to achieve the most efficient segmentation technique that would allow radiologists and surgeons to have easy access to organ measurements and visualization. Although several implementations and systems have been implemented, there still lies plenty of space in creating a more robust, accurate, reliable, and fast segmentation algorithm. Since automated segmentation algorithms have less user interaction (minimizing the probability of performance variation) and are usually preferred by the clinicians, the aim of this paper is to provide a state-of-art automated solution for accurately segmenting the liver and liver tumor from CT volumes. The implementation utilizes a deep learning hybrid network that blends features extracted from both 2D and 3D convolutions to enhance the overall performance of the algorithm, in addition to some pre-processing and postprocessing. We tested this network on both public and private data and it showed promising results that would be highly applicable in surgical setups. Finally, we briefly discuss how these results are relevant in a typical surgical application.

关键词： Liver image segmentation Surgery Tumors Computed tomography Feature extraction Machine learning

来源：评论

学校读者我要写书评

暂无评论

Accurate Real-Time Traffic Light Detection Using YOLOv4

Accurate Real-Time Traffic Light Detection Using YOLOv4

引用

IEEE International conference on Consumer Electronics-Asia (ICCE-Asia)

作者： Tai Huu - Phuong Tran Jae Wook Jeon College of Information and Communication Engineering SKKU Suwon Korea

ISBN: (数字)9781728161648

ISBN: (纸本)9781728161655

Traffic light detection has a significant role in every driver assistance system (DAS). Using the information of recognized traffic signals, a DAS provides safe navigating suggestions to drivers. In this paper, we focus on horizontal traffic light formats, which are popular in South Korea, North American and most European countries. Despite their different shapes and sizes, we group important traffic light signals into six categories: red, yellow, green, green-turn, red-turn and no signal. This paper proposes a method to localize all traffic light positions in the current scene; and identify the main ones from them. To detect and classify traffic signals, we use YOLOv4, which is the most recent deep learning framework. Next, based on the relation of detected traffic lights, our system removes irrelevant signals. Finally, with the optimized set of detected traffic lights, we identify the main signal for the whole scene. Experiments were conducted on two large datasets captured in Seoul Korea containing both highways and urban areas. The results achieved 95% accuracy at 30FPS.

关键词： Training Real-time systems Prediction algorithms image color analysis Urban areas Shape Graphics processing units

来源：评论

学校读者我要写书评

暂无评论

International conference on Soft Computing and Signal processing, ICSCSP 2018

International Conference on Soft Computing and Signal Proces...

引用

International conference on Soft Computing and Signal processing, ICSCSP 2018

ISBN: (纸本)9789811335990

The proceedings contain 78 papers. The special focus in this conference is on Soft Computing and Signal processing. The topics include: Comparative analysis of clustering algorithms with heart disease datasets using data mining weka tool;A machine learning approach for web intrusion detection: MAMLS perspective;white blood cell classification using convolutional neural network;analysis of mobile environment for ensuring cyber-security in IoT-based digital forensics;payment security mechanism of intelligent mobile terminal;Hybrid neuro-fuzzy method for data analysis of brain activity using EEG signals;gait recognition using J48-based identification with knee joint movements;cyber intelligence alternatives to offset online sedition by in-website image analysis through webcrawler cyberforensics;deep convolutional neural network-based diabetic retinopathy detection in digital fundus images;analysis of early detection of emerging patterns from social media networks: A data mining techniques perspective;a framework for semantic annotation and mapping of sensor data streams based on multiple linear regression;Cyclostationarity analysis of GPS signals for spoofing detection;implementation of fingerprint-based authentication system using blockchain;NSGLTLBOLE: A modified non-dominated sorting TLBO technique using group learning and learning experience of others for multi-objective test problems;homomorphic encryption scheme for data security in cloud using compression technique;efficient query clustering technique and context well-informed document clustering;motif shape primitives on fibonacci weighted neighborhood pattern for age classification;a novel virtual tunneling protocol for underwater wireless sensor networks;garbage monitoring system using internet of things;mobile learning recommender system based on learning styles;initial centroids for K-means using nearest neighbors and feature means.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Smart Feeder Robot for Severely Disabled Patients

Smart Feeder Robot for Severely Disabled Patients

引用

IEEE International conference on Software Quality, Reliability and Security Companion (QRS-C)

作者： Chihhsiong Shih Quanen Lai Huanran Ho WillIam Cheng-Chung Chu Tunghai University Taichung Taiwan

ISBN: (数字)9781728189154

ISBN: (纸本)9781728189161

As Taiwan enters an aging society, the number of disabled people increases accordingly, resulting in a growing burden for longterm care and family care managements. We propose an eye-hand integration system with an infrared sensor attached to the end of the arm. Not only can the accuracy of feeding be controlled, but also the position of the spoon/claw can be micro-controlled while picking up food as cleanly as possible. It is more intelligent than other feeding robot arms. It can automatically adjust the position of the head and face of users of different sizes and orientations. As long as the base of the arm is placed close to the head of the bed, feeding the arm can serve the user without special posture adjustment. At the same time, the users' head are mounted with a laser light and a camera which serves as a lighting sources on multiple dark areas on the food table. Given the lighted instructions, the robot arm is guided to different food plate. Disabled patients can then freely choose the order of eating and enjoy the quality of life. We report the details of constructing such system and presents the image processing algorithms for laser light selection operations.

关键词： Three-dimensional displays Mouth Software quality Aging Robot sensing systems Manipulators Software reliability

来源：评论

学校读者我要写书评

暂无评论

International conference on Soft Computing and Signal processing, ICSCSP 2018

International Conference on Soft Computing and Signal Proces...

引用

International conference on Soft Computing and Signal processing, ICSCSP 2018

ISBN: (纸本)9789811333927

The proceedings contain 156 papers. The special focus in this conference is on Soft Computing and Signal processing. The topics include: Comparative analysis of clustering algorithms with heart disease datasets using data mining weka tool;A machine learning approach for web intrusion detection: MAMLS perspective;white blood cell classification using convolutional neural network;analysis of mobile environment for ensuring cyber-security in IoT-based digital forensics;payment security mechanism of intelligent mobile terminal;Hybrid neuro-fuzzy method for data analysis of brain activity using EEG signals;gait recognition using J48-based identification with knee joint movements;cyber intelligence alternatives to offset online sedition by in-website image analysis through webcrawler cyberforensics;deep convolutional neural network-based diabetic retinopathy detection in digital fundus images;analysis of early detection of emerging patterns from social media networks: A data mining techniques perspective;a framework for semantic annotation and mapping of sensor data streams based on multiple linear regression;Cyclostationarity analysis of GPS signals for spoofing detection;implementation of fingerprint-based authentication system using blockchain;NSGLTLBOLE: A modified non-dominated sorting TLBO technique using group learning and learning experience of others for multi-objective test problems;homomorphic encryption scheme for data security in cloud using compression technique;efficient query clustering technique and context well-informed document clustering;motif shape primitives on fibonacci weighted neighborhood pattern for age classification;a novel virtual tunneling protocol for underwater wireless sensor networks;garbage monitoring system using internet of things;mobile learning recommender system based on learning styles;initial centroids for K-means using nearest neighbors and feature means.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Adaptive Target Detection Algorithm Based on Correlation Filtering

Adaptive Target Detection Algorithm Based on Correlation Fil...

引用

IEEE International conference on Unmanned systems (ICUS)

作者： Zexiao Xie Yan Zhang Shukai Chi Lin Zhou Ming Li Engineering Collage Ocean University of China Qingdao China

ISBN: (纸本)9781728137933

Correlation filtering is a fast and robust signal detection and processing algorithm. However, in the field of images processing, scale and rotation variation are important issues for correlation filtering algorithms. This paper proposes a detection method based on correlation filtering, which uses axis of symmetry and circumscribed rectangles to estimate the rotation and scale of the target. Firstly, using the HSV model to separate the colors to be found in the original image. Then, the axisymmetric shell intersection method is proposed to solve the symmetry axis and the circumscribed rectangle of the object. Finally, a correlation filter is used to solve all the areas that are likely to be objects. The response value, the position with the highest response value is the object position. The algorithm performs experiments on a set of artificially calibrated image sequences. Experiments show that this method can achieve better detection results when the number of training samples is small.

关键词： Correlation image color analysis Filtering Training Filtering algorithms Object detection Plugs

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 << < 437 438 439 440 441 442 443 444 445 446 > >>

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：