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

12,548 篇 会议
192 篇 期刊文献
161 册 图书

馆藏范围

12,901 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

6,491 篇 工学
- 4,273 篇 计算机科学与技术...
- 2,180 篇 软件工程
- 1,872 篇 电气工程
- 1,277 篇 信息与通信工程
- 825 篇 控制科学与工程
- 652 篇 光学工程
- 462 篇 生物医学工程（可授...
- 440 篇 电子科学与技术（可...
- 435 篇 机械工程
- 425 篇 仪器科学与技术
- 316 篇 生物工程
- 220 篇 测绘科学与技术
- 152 篇 材料科学与工程（可...
- 142 篇 航空宇航科学与技...
- 133 篇 交通运输工程
- 99 篇 安全科学与工程
- 86 篇 网络空间安全
3,125 篇 理学
- 2,083 篇 物理学
- 888 篇 数学
- 359 篇 生物学
- 246 篇 系统科学
- 224 篇 统计学（可授理学、...
- 109 篇 化学
1,429 篇 医学
- 1,268 篇 临床医学
- 192 篇 特种医学
- 158 篇 基础医学(可授医学...
- 99 篇 药学(可授医学、理...
691 篇 管理学
- 422 篇 管理科学与工程(可...
- 291 篇 图书情报与档案管...
- 84 篇 工商管理
58 篇 法学
57 篇 农学
29 篇 教育学
27 篇 文学
25 篇 经济学
17 篇 军事学
16 篇 艺术学
1 篇 哲学

主题

2,645 篇 image processing
1,386 篇 image segmentati...
1,143 篇 signal processin...
609 篇 cameras
594 篇 feature extracti...
584 篇 image edge detec...
521 篇 signal processin...
472 篇 image reconstruc...
461 篇 real-time system...
460 篇 image coding
390 篇 algorithm design...
334 篇 image color anal...
308 篇 deep learning
306 篇 image enhancemen...
306 篇 pixel
300 篇 real time system...
293 篇 object detection
290 篇 computer archite...
283 篇 neural networks
282 篇 hardware

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 tongji universit...
8 篇 university of to...
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 ...
7 篇 school of electr...
7 篇 department of ma...

作者

19 篇 anon
13 篇 de-shuang huang
13 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 bovik alan c.
8 篇 hannig frank
8 篇 mahalanobis a
8 篇 ilias maglogiann...
8 篇 carli m.
7 篇 miller jwv
7 篇 busch christoph
7 篇 semenishchev e.
7 篇 zelensky a.

语言

12,604 篇 英文
211 篇 其他
74 篇 中文
20 篇 土耳其文
3 篇 葡萄牙文
2 篇 西班牙文
2 篇 俄文
1 篇 法文

检索条件"任意字段=Conference on Image Processing - Algorithms and Systems XII"

共 12901 条记录，以下是291-300 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：

Gate gap detection method based on double checkerboard calibration 4

Gate gap detection method based on double checkerboard calib...

引用

4th International conference on Computer Vision and Pattern Analysis, ICCPA 2024

作者： Yang, Quanlin Huang, Xiaoliang Ren, Dexin Zhu, Xiaolong Yangtze River Three Gorges Navigation Administration Bureau Hubei Yichang China

ISBN: (纸本)9781510682528

The stable closure of the gate affects the safety performance and normal operation of the gate, and it is necessary to detect the gap distance of the closed door, but the direct observation of the gate monitoring image by the naked eye alone cannot achieve high precision and long-term accuracy. In view of the shortcomings of the existing technology, this paper proposes a gate gap detection method based on double checkerboard calibration, which can accurately detect the distance between the two gates and improve the detection accuracy. Compared with traditional methods, the method in this paper can reduce the dependence on gate and camera installation positions, thereby reducing maintenance costs. © 2024 SPIE.

关键词： Cameras Calibration image processing Imaging systems Detection and tracking algorithms Distortion image segmentation Zoom lenses Camera calibration Feature extraction

来源：评论

学校读者我要写书评

暂无评论

Enhancing Vehicle Analysis with Fine Estimation on Video Streams Using image processing Techniques

Enhancing Vehicle Analysis with Fine Estimation on Video Str...

引用

2023 Annual International conference on Emerging Research Areas: International conference on Intelligent systems, AICERA/ICIS 2023

作者： Radha, R. Reddy, Kotha Bhargavi Yeshwanth, R. Alliance University Department of Computer Science and Engineering Bangalore India

ISBN: (纸本)9798350303452

Enhancing Vehicle Analysis with fine Estimation on video streams time object detection and tracking, and OCR for license plate recognition. By leveraging YOLO, the project extracts precise vehicle information from video streams, enabling comprehensive data collection for traffic analysis. Additionally, OCR algorithms automatically identify license plate numbers, facilitating law enforcement and fine estimation. This integrated approach enhances vehicle analysis, providing valuable insights for traffic optimization, infrastructure planning, and law enforcement strategies. The project aims to create safer, more efficient cities by harnessing the power of image processing techniques like YOLO and OCR in realtime vehicle analysis. © 2023 IEEE.

关键词： Optical character recognition

来源：评论

学校读者我要写书评

暂无评论

Application of Novel Memristor Chaotic System in image Encryption 4

Application of Novel Memristor Chaotic System in Image Encry...

引用

4th IEEE International conference on Electronic Technology, Communication and Information, ICETCI 2024

作者： Gao, Huiyan Cai, Zhenyang Xu, Hongmei Yanbian University The New Generation of Electronic Information Technology Yanji China

ISBN: (纸本)9798350361643

Memristors, also known as variable resistors, are often used in research in fields such as neural networks, nonlinear systems, and digital circuits due to their memory, resistivity, and nonlinear characteristics. Because the combination of memristor and chaotic system can effectively improve the complexity and unpredictability of the system, and provide security for data processing. Therefore, applying the memristive chaos system to image encryption can not only enrich the diversity of encryption algorithms, but also meet the requirements for randomness and diffusion in the encryption process, effectively improving the security of the algorithm and achieving efficient encryption. Based on the nonlinear characteristics of memristor, this paper designs a new five-dimensional memristor chaotic system by combining memristor and chaotic system, then, designs an image encryption scheme based on this memristor chaotic system. The security of the encryption process is verified. © 2024 IEEE.

关键词： Memristors

来源：评论

学校读者我要写书评

暂无评论

The Major Challenge in Improving image Dark Channel Defogging Algorithm 23

The Major Challenge in Improving Image Dark Channel Defoggin...

引用

6th International conference on Information Science and systems, ICISS 2023

作者： Samonte, Mary Jane C. Wang, Rongfu Li, Shuhua School of IT Mapua University Manila Philippines

ISBN: (纸本)9798400708206

With the rapid development of computer vision and image processing technology, scene image processing under particular weather conditions has become an important research direction, especially in foggy conditions of the image, which is easily affected by haze, resulting in unclear picture quality and image information loss. The defogging algorithm came into being to solve this kind of image problem. This paper analyzes the advantages and disadvantages of dark channels and histogram algorithms. Given the time and space complexity and incomplete fog removal of the dark channel and histogram algorithm, a combined improved algorithm is proposed, a fast fog removal algorithm combining dark channel and histogram enhancement. The analysis of experimental results shows that the fast-defogging algorithm combined with dark channel and histogram enhancement proposed in this paper can restore better visual effects and preserve edge details. Especially in the distant image area, image details are easier to obtain, and the time and space complexity of the algorithm is reduced. © 2023 ACM.

关键词： image enhancement

来源：评论

学校读者我要写书评

暂无评论

Traffic Sign Recognition by image Preprocessing and Deep Learning 15th

Traffic Sign Recognition by Image Preprocessing and Deep Lea...

引用

15th International conference on Intelligent Human-Computer Interaction (IHCI)

作者： Khamdamov, U. R. Umarov, M. A. Khalilov, S. P. Kayumov, A. A. Abidova, F. Sh. Univ Management & Future Technol Tashkent Uzbekistan Tashkent Univ Informat Technol Samarkand Branch Tashkent Uzbekistan Tashkent Univ Informat Technol Tashkent Uzbekistan

ISBN: (纸本)9783031538292;9783031538308

Due to the improvement in the car manifacture, the rate of road traffic accidents is increasing. To solve these problems, there is loads of attention in research on the development of driver assistance systems, where the main innovation is traffic sign recognition (TSR). In this article, a special convolutional neural network model with high accuracy compared to traditional models is used for TSR. The Uzbek Traffic Sign Dataset (UTSD) applied in the zone of Uzbekistan was created, consisting of 21.923 images belonging to 56 classes. We proposed a parallel computing method for real-time processing of video haze removal. Our utilization can process the 1920 x 1080 video series with 176 frames per second for the dark channel prior (DCP) algorithm. 8.94 times reduction of calculation time compared to the Central processing Unit (CPU) was achieved by performing the TSR process on the Graphics processing Unit (GPU). The algorithms used to detect traffic signs are improved YOLOv5. The results showed a 3.9% increase in accuracy.

关键词： Traffic sign recognition deep learning image dehazing UTSD dataset parallel processing data augmentation

来源：评论

学校读者我要写书评

暂无评论

Convolutional Simultaneous Sparse Approximation with Applications to RGB-NIR image Fusion 56

Convolutional Simultaneous Sparse Approximation with Applica...

引用

56th Asilomar conference on Signals, systems, and Computers

作者： Veshki, Farshad G. Vorobyov, Sergiy A. Aalto Univ Dept Signal Proc & Acoust Espoo Finland

ISBN: (纸本)9781665459068

Simultaneous sparse approximation (SSA) seeks to represent a set of dependent signals using sparse vectors with identical supports. The SSA model has been used in various signal and image processing applications involving multiple correlated input signals. In this paper, we propose algorithms for convolutional SSA (CSSA) based on the alternating direction method of multipliers. Specifically, we address the CSSA problem with different sparsity structures and the convolutional feature learning problem in multimodal data/signals based on the SSA model. We evaluate the proposed algorithms by applying them to multimodal and multifocus image fusion problems.

关键词： Simultaneous sparse approximation convolutional sparse coding dictionary learning image fusion

来源：评论

学校读者我要写书评

暂无评论

Error Analysis of a Multi-Sensor Maritime Targeting System 20

Error Analysis of a Multi-Sensor Maritime Targeting System

引用

conference on Electro-Optical and Infrared systems - Technology and Applications XX

作者： Hickman, Duncan L. Niebla, Maria Sang, Daekyu Kim, Boomin Baek, Jeonghyun Tektonex Ltd Long View Argyll Rd Kilcreggan Argyll & Bute Scotland Agcy Def Dev 160 Bugyuseong Dero 488beon Gil Daejeon South Korea

ISBN: (数字)9781510667044

ISBN: (纸本)9781510667037

Targeting systems are subject to multiple sources of error when operating in complex environments. To reduce the effect of these errors, modern targeting systems generally include both imaging and RF sensors. Data processing then provides target detection and classification information, and the detection streams are combined using a data fusion scheme to produce an optimal target location estimate with an associated latency. In this paper, the performance of a multi- sensor system in a maritime application is investigated using a mathematical simulator that has been developed to provide the system performance error analysis for different engagement scenarios and test conditions. This simulator is described together with the sources of targeting error such as image motion blur and radar glint. Additionally, the impact of flare and chaff countermeasures on the targeting performance is reviewed in terms of different types of target recognition and tracking algorithms.

关键词： Multisensor systems Error Analysis image Blur Radar Glint Model Validation Countermeasure Model ATR processing Targeting systems

来源：评论

学校读者我要写书评

暂无评论

image Preprocessing to Improve Object Recognition in Complex Weather Conditions

Image Preprocessing to Improve Object Recognition in Complex...

引用

2023 International Russian Smart Industry conference, SmartIndustryCon 2023

作者： Schegolikhin, Yaroslav Mitrokhin, Maxim Eremin, Alexandr Penza State University Penza Russia

ISBN: (纸本)9781665464291

Object recognition systems on images allow to automate of various routine processes. Vehicle detection systems are becoming widespread and are being incorporated into, "smart city"initiatives, and traffic control systems. Some applications of such systems are related to the impact of precipitation and other atmospheric phenomena that degrade image quality. The deterioration of image characteristics leads to a decrease in the efficiency of the entire automated system. The research issue is to develop a software solution to improve the efficiency of vehicle detection on images captured in difficult weather conditions. The neural network detector YOLOv5, trained on images collected by the authors from open sources, was used as an algorithm for the detection of cars on the images. Contrast correction and neural network methods were used as image enhancement algorithms. The performance of the YOLOv5 detector was compared on a test base of images preprocessed by image enhancement methods. It was found that the algorithms chosen for the study were indeed able to improve image quality by partially removing interference. Generative neural networks can introduce visual distortions and initially missing elements in images, so their application within the task's framework is very limited. image processing methods based on contrast correction allow for the improvement of vehicle detector performance on images with interference, but their application negatively affects performance on images without interference. On average, the performance of the detector decreases insignificantly when comparing images with and without interference. © 2023 IEEE.

关键词： Efficiency

来源：评论

学校读者我要写书评

暂无评论

Vision Semantics image Captioner

Vision Semantics Image Captioner

引用

2024 IEEE International conference on Information Technology, Electronics and Intelligent Communication systems, ICITEICS 2024

作者： Pereira, Gavin Kundar, Risha Kushwaha, Devendra Shaikh, Phiroj Don Bosco Institute of Technology Department of Computer Engineering Mumbai India

ISBN: (纸本)9798350382693

This paper introduces the completed project development of a cutting-edge Vision Semantics image Captioner., a comprehensive platform aimed at generating contextually rich descriptions for images. Focused on leveraging advancements in vision semantics, our system utilises state-of-the-art techniques to provide detailed and meaningful captions for a wide array of images. The primary objective of this research is to enhance the understanding and interpretation of images through automated captioning, contributing to the fields of computer vision and natural language processing. The image captioner goes beyond basic descriptions by incorporating semantic nuances, ensuring that the generated captions capture the essence and context of the visual content. Our platform addresses the need for a reliable and efficient image captioning system by offering a user-friendly interface and incorporating robust algorithms. The implementation plan involved thorough literature surveys, enabling us to integrate the latest advancements in vision semantics into the image captioning process. In addition to the technical aspects, the paper discusses the practical applications of the Vision Semantics image Captioner, emphasizing its potential in various domains such as accessibility, content indexing, and assistive technologies. The research also includes guidelines for optimising and customizing the system for specific use cases. By presenting a comprehensive solution for image captioning, this research contributes to the advancement of automated visual understanding. The platform's capabilities are demonstrated through a series of evaluations, showcasing its effectiveness in generating accurate and meaningful image captions. We believe that the Vision Semantics image Captioner has the potential to revolutionize the way images are interpreted, providing valuable insights across diverse applications. © 2024 IEEE.

关键词： Intelligent systems

来源：评论

学校读者我要写书评

暂无评论

MedSeg: A Medical image Analyzer

MedSeg: A Medical Image Analyzer

引用

Control Instrumentation System conference (CISCON) - Guiding Tomorrow - Emerging Trends in Control, Instrumentation, and systems Engineering

作者： Mehta, Shlok Pancholi, Keyur Pandey, Sakshi Dhage, Dr Sudhir Sardar Patel Inst Technol Comp Engn Dept Mumbai Maharashtra India

ISBN: (纸本)9798350375480;9798350375497

This research paper aims to address the critical need for efficient and accurate identification of chest diseases using chest X-rays through a combination of advanced image processing techniques and machine learning algorithms. With the growing prevalence of respiratory and cardiovascular conditions worldwide, timely and precise diagnosis is paramount for effective patient care. The study begins with a comprehensive review of existing methodologies and technologies employed in the identification of chest diseases from X-ray images. It critically evaluates the strengths and limitations of current approaches, highlighting the challenges faced in achieving high accuracy, speed, and scalability. To address these issues, the project aims to develop an AI-powered system for medical image analysis. In response to these challenges, our research proposes a novel approach that integrates Inception V3 model and imagenet. We leverage a large dataset of annotated chest X-rays to train a deep neural network capable of recognizing subtle patterns indicative of various diseases, including pneumonia, pneumothorax, lung and cardiac abnormalities. The model is optimized to provide not only accurate diagnoses but also to minimize false positives and negatives. In conclusion, this research contributes to the ongoing efforts in utilizing chest X-ray images for disease identification, presenting a robust and efficient methodology that could revolutionize the current diagnostic landscape. The findings hold promise for the development of automated systems capable of assisting healthcare professionals in the accurate and timely detection of chest diseases, ultimately contributing to enhanced patient care and management.

关键词： Machine learning Medical image analysis Chest X-Rays prediction imageNET InceptionV3 Disease prediction

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 << < 26 27 28 29 30 31 32 33 34 35 > >>

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：