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

15,847 篇 会议
204 篇 期刊文献
147 册 图书
1 篇 专利

馆藏范围

16,199 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

9,992 篇 工学
- 8,671 篇 计算机科学与技术...
- 6,594 篇 软件工程
- 3,105 篇 信息与通信工程
- 2,988 篇 光学工程
- 2,499 篇 生物工程
- 1,545 篇 控制科学与工程
- 1,484 篇 生物医学工程（可授...
- 1,163 篇 电气工程
- 851 篇 电子科学与技术（可...
- 618 篇 化学工程与技术
- 561 篇 安全科学与工程
- 538 篇 机械工程
- 469 篇 网络空间安全
- 398 篇 交通运输工程
- 342 篇 仪器科学与技术
- 278 篇 材料科学与工程（可...
5,905 篇 理学
- 2,951 篇 物理学
- 2,562 篇 生物学
- 1,892 篇 数学
- 675 篇 化学
- 663 篇 统计学（可授理学、...
2,179 篇 管理学
- 1,288 篇 图书情报与档案管...
- 1,022 篇 管理科学与工程(可...
- 408 篇 工商管理
1,625 篇 医学
- 1,456 篇 临床医学
- 890 篇 基础医学(可授医学...
- 759 篇 药学(可授医学、理...
- 260 篇 公共卫生与预防医...
344 篇 农学
- 337 篇 作物学
302 篇 法学
- 280 篇 社会学
165 篇 经济学
135 篇 教育学
65 篇 文学
38 篇 军事学
2 篇 哲学
2 篇 历史学
2 篇 艺术学

主题

1,288 篇 computer vision
781 篇 deep learning
486 篇 image segmentati...
413 篇 image processing
386 篇 object detection
360 篇 image enhancemen...
338 篇 feature extracti...
303 篇 convolutional ne...
299 篇 image classifica...
275 篇 machine learning
203 篇 training
200 篇 computational mo...
198 篇 signal processin...
196 篇 image recognitio...
168 篇 visualization
163 篇 neural networks
158 篇 artificial intel...
153 篇 convolution
150 篇 face recognition
132 篇 generative adver...

机构

54 篇 chitkara univers...
41 篇 peng cheng labor...
39 篇 university of ch...
38 篇 school of comput...
31 篇 university of sc...
31 篇 tsinghua univers...
30 篇 the islamic univ...
26 篇 college of compu...
26 篇 college of compu...
25 篇 school of comput...
24 篇 shanghai jiao to...
23 篇 school of electr...
21 篇 college of compu...
21 篇 shenzhen interna...
21 篇 school of comput...
20 篇 school of comput...
19 篇 centre of interd...
19 篇 department of co...
19 篇 national univers...
19 篇 shanghai ai labo...

作者

18 篇 li li
18 篇 chen chen
18 篇 yang yang
16 篇 lee sung-hak
16 篇 liu yang
14 篇 jia zhenhong
14 篇 li yang
14 篇 kim young-choon
13 篇 hao zhang
13 篇 luc van gool
12 篇 luo xiaonan
12 篇 zhou gang
12 篇 zhang bo
11 篇 yulun zhang
11 篇 wang wei
10 篇 li xin
10 篇 zhang lei
10 篇 wang jing
10 篇 chen dong
10 篇 liu lei

语言

15,959 篇 英文
224 篇 其他
99 篇 中文
3 篇 土耳其文
2 篇 西班牙文

检索条件"任意字段=2023 International Conference on Image Processing and Computer Vision, IPCV 2023"

共 16199 条记录，以下是4941-4950 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：

Research on Colour Correction in image Stitching With Equal Depth of Field 2

Research on Colour Correction in Image Stitching With Equal ...

引用

2nd international conference on Artificial Intelligence, Human-computer Interaction and Robotics, AIHCIR 2023

作者： Lin, Daocheng Li, Zhian Xin, Guohua Xia, Yingjie Li, Jinping School of Information Science and Engineering University of Jinan Jinan China

ISBN: (纸本)9798350360363

In the process of stitching images with equal depth of field, there are certain differences in brightness and colour between the stitched images, leading to the problem of large differences in brightness and colour at the seams of the stitched images. This affects people's visual effect, which in turn affects some related algorithmic effects on the basis of stitching big picture, so solving the problem of colour inconsistency in equal depth of field image stitching is an important research topic. Some existing methods for processing colour correction of a stitched image include global colour correction methods and local colour correction methods, while the local colour correction methods includes simple local correction methods and colour correction methods that fully considers local features of the image. However, the above methods suffer from inefficiency or poor image correction. In this regard, under the assumption that the colour features around the seams of a stitched large image are similar, a method for eliminating colour inconsistencies in stitched images using local statistical features in the region near the stitch line is proposed. The colour inconsistency in the stitched image is effectively solved by firstly calculating the difference between the colour statistical features in the region near the seams of the stitched images, then using the difference to correct the region near the two sides of the stitch, and finally extending it to the whole image for colour correction. The experimental results show that the method in this paper is simple and effective, which can keep the structure of the original image intact and improve the colour correction effect of the stitched image with better visual effect. © 2023 IEEE.

关键词： Color

来源：评论

学校读者我要写书评

暂无评论

Fruit disease detection and classification using convolution neural network

Fruit disease detection and classification using convolution...

引用

international conference on Artificial Intelligence, Blockchain, Computing and Security, ICABCS 2023

作者： Loganathan, V. Manasa, Chigarapalli Pavithra Devi, V. Nivetha, A. Department of Computer Science and Engineering Saveetha Engineering College Tamil Nadu Chennai India

ISBN: (纸本)9781032669663

The fruit industry is India’s largest industry. Due to carelessness and incorrect human inspection, the fruit disease results in significant losses in production, quality, and quantity. The manual examination is a laborious and time-consuming process. An image processing method is provided for the detection and classification of apple fruit diseases using various colour, texture, and shape feature combinations. The essential steps of the recommended approach include Fruit illness detection utilizing a typical neural network (CNN), where fruits are sorted, picture segmentation, feature extraction (color, texture, and shape), feature merging, and feature extraction into ill or healthy classifications. In the lab, our suggested technique was evaluated and confirmed. Using the suggested technique, 97% accuracy was attained. © 2024, CRC Press/Balkema. All rights reserved.

关键词： Fruits

来源：评论

学校读者我要写书评

暂无评论

A stereo vision depth estimation method of binocular wide-field infrared camera 3

A stereo vision depth estimation method of binocular wide-fi...

引用

3rd international Computing Imaging conference, CITA 2023

作者： Zhu, Youpan Li, Huanqing Li, Li Jin, Weiqi Song, Jianhua Zhou, Yongkang MOE Key Laboratory of Optoelectronic Imaging Technology and System Beijing Institute of Technology Beijing100081 China Kunming Institute of Physics Kunming Kunming650223 China School of Life Science Beijing Institute of Technology Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9781510671409

With the development of binocular stereo vision ranging technology, traditional visible light cameras which have a narrow field of vision gradually cannot meet the need of some special environments. For this reason, this paper proposes to use large field of view infrared cameras to replace traditional visible light cameras. Aiming at the distortion defects caused by the large field of view lens and the low calibration accuracy of the infrared camera, an active infrared radiation calibration board is used. The internal and external parameters of the camera are accurately calibrated under Taylor model which is different from the traditional pinhole model. In addition, we use the SIFT+RANSAC algorithm for feature point extraction and matching, and then get the depth information. The experimental results of target ranging at different distances show that when the distance reaches 9m, the error rates of the Taylor model (7.11% and 10.1%) are better than the pinhole model (16.4% and 29.8%). The image correction effect of the Taylor model calibration is much better than that of the pinhole model, and the accuracy of depth estimation is also better than that of the pinhole model. © 2023 SPIE.

关键词： computer vision

来源：评论

学校读者我要写书评

暂无评论

Finding Concrete Cracks in a Building using Improved Deep Learning Algorithms 2

Finding Concrete Cracks in a Building using Improved Deep Le...

引用

2nd international conference on Augmented Intelligence and Sustainable Systems, ICAISS 2023

作者： Devisurya, V. Paulson, J. Seshadhri, M. Varshini, P. Nagaraj, P. Muneeswaran, V. Kongu Engineering College Department of Information Technology Erode India Kalasalingam Academy of Research and Education Department of Computer Science and Engineering Virudhunagar India Kalasalingam Academy of Research and Education Department of Electronics and Communication Engineering Virudhunagar India

ISBN: (纸本)9798350325799

To ensure functionality and durability, engineering constructions must have fractures identified and repaired. Since cracks are typically discovered through visual inspection, the examiner's personal judgment plays a vital part in both the detection of concrete cracks and the estimation of their characteristics. In the past, this has helped with both the evaluation of the crack phenomenon and the repair of various structures. The number of engineering structures has expanded as a result of industrial development, but relative to that, the level of skill in the crack-detecting field has not improved. Therefore, a quicker yet more precise method is required. The image processing method detects the cracks and their characteristics simultaneously. The formulation of the algorithm and the implementation is simple. However, other flaws, such as mistaking noises for fractures and a lack of accuracy in spotting micro-cracks, have turned into major obstacles for this technology. Finding transverse cracks in concrete structures is another critical problem. Therefore, a thorough analysis of the most recent articles is required to establish an accurate technique. In order to comprehend the potential of this technology, a critical study of the image-processing phenomenon and a thorough literature review has been done in this paper. A universal DenseNet121 classification-based algorithm with camera pictures for crack identification could be an effective strategy with greater accuracy. © 2023 IEEE.

关键词： image enhancement

来源：评论

学校读者我要写书评

暂无评论

Autonomous Navigation System for Agricultural Vehicles Using Machine vision Recognition and Localization of Panoramic Landmarks

Autonomous Navigation System for Agricultural Vehicles Using...

引用

17th international conference on Ubiquitous Information Management and Communication, IMCOM 2023

作者： Hong, De Yu Cheng, Stone Ding, Yan Xiang National Yang Ming Chiao Tung University Department of Mechanical Engineering Hsinchu Taiwan

ISBN: (纸本)9781665453486

This paper develops a low-cost image real-time positioning system platform for agricultural vehicle localization system and its deployment and field-testing in rice paddy. The system enables affordable precision agriculture in rice production by providing the vehicle's position in the paddy without the use of expensive RTK-GPS (Real-Time Kinematic GPS) positioning system. We designed specific artificial landmarks to form four markers at the corners of the farmland. The system uses the camera panorama image to detect a specific marker., then uses the angle of the marker in the image to calculate the current position. The results of static positioning experiments show that in the field of view of 30 m × 20 m, the maximum error of X and Y axis is 20 cm, the average error of X axis is 9 cm and the average error of Y axis is 7 cm, This study is actually installed on a rice transplanter for dynamic positioning verification. The system can solve the problems of unstable and interrupted satellite system leading to loss of control of agricultural vehicles and high cost of RTK-GPS system. This study has been experimentally verified to be able to localize within a range of 50 m × 50 m. © 2023 IEEE.

关键词： computer vision

来源：评论

学校读者我要写书评

暂无评论

vision-Based Location Recognition for Visually Impaired People 5

Vision-Based Location Recognition for Visually Impaired Peop...

引用

5th IEEE international conference on Advances in Electronics, computers and Communications, ICAECC 2023

作者： Madake, Jyoti Shekhavat, Akash Shelke, Madhuri Bhatlawande, Shripad VIT E & TC Dept Pune India

ISBN: (纸本)9798350305449

vision-based location for place recognition is a method used in computer vision to identify and localise aspecific place or location based on visual data. This method entails employing a camera or sensor to take pictures or videos of the environment, which is then processed to extract features that can be applied to location recognition. The proposed system uses Fast Retina Keypoint (FREAK) descriptor and the Features from Accelerated Segment Test (FAST) algorithm as detectors to identify and extract features from the input image, enabling reliable feature matching. The system can determine the location of a person within the college environment. This information is relayed to the user through an audio interface making it easier and safer for visually impaired people to travel around indoor spaces. The system is trained using a dataset of images that represent the various locations within the college campus. To improve classification performance, the system incorporates K-means clustering and various classifiers, like Decision trees(DT), support vector machines (SVMs), and K nearest neighbour (KNN) algorithms. Comprehensive dataset of 2700 photos used for training a system and achieves high accuracy of 94% and robustness in detecting and recognizing different places within college campuses. The proposed technology has the potential to increase self-reliance and safety of visually impaired people. © 2023 IEEE.

关键词： Decision trees

来源：评论

学校读者我要写书评

暂无评论

Human activity recognition based on CSI in multiple scenarios 3

Human activity recognition based on CSI in multiple scenario...

引用

3rd international conference on Advanced Algorithms and Signal image processing, AASIP 2023

作者： Zhang, Xiaolin Department of Computer and Communication Lanzhou University of Technology Lanzhou730050 China

ISBN: (纸本)9781510668522

Due to the popularity of commercial WiFi devices prompting the use of WiFi devices to achieve indoor human activity recognition(HAR) has become possible, HAR plays an important role in human-computer interaction, virtual reality and meta-universe, human walking, running and other activities will have an impact on the propagation of WiFi signals, by analyzing the information of the affected channel state, WiFi-based HAR can be achieved. In this paper, human activity states of three environments are classified, firstly by Hampel filtering to remove the anomaly noise, after that by DWT to further reduce the noise interference, then by extracting the statistical features in the time-frequency domain, and finally by random forest classification to complete the classification recognition. Through experimental verification, the method proposed in this paper can achieve 92% and 91% recognition rate in laboratory scene and corridor scene, which is better than the traditional algorithm recognition rate. It can also achieve 89% accurate recognition rate in non-line-of-sight(NLOS) environment, which also confirms the robustness of the proposed algorithm to the environment. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Channel state information

来源：评论

学校读者我要写书评

暂无评论

Fuzzy Search with Multi-Keyword Security and Improved Service Quality

Fuzzy Search with Multi-Keyword Security and Improved Servic...

引用

2023 international conference on Data Science, Agents and Artificial Intelligence, ICDSAAI 2023

作者： Bhuvaneswari, E. Devi, V. Anjana Gowri, R. Chennai Institute of Technology Dept. of Computer Science and Engg. Tamil Nadu Chennai India Rajalakshmi Institute of Technology Dept. of Computer Science and Engg. Tamil Nadu Chennai India

ISBN: (纸本)9798350348910

Over the past ten years, there has been a tremendous advancement in machine learning and computer vision, which has led to a large decrease in computing complexity and an increase in efficiency for visual learning algorithms. The Automated Question and Answering System combines stemming with a partial match retrieval technique to do this. The answer provided by the suggested method will be improved over the standard text answer provided by the visual learning system by using text and multimedia, like an image or video. Based on the classifiers for all the predefined qualities, an attribute feature, including the answers from these classifiers, represents each image. The proposed uses a novel picture re-ranking architecture that learns different semantic spaces for different query phrases. The features of the photographs are projected. images are reranked online by comparing their semantic signatures, retrieved from the semantic space the query term specifies. The suggested semantic fingerprints specific to a query greatly increase the precision and effectiveness of image reranking. Our project primarily focuses on making retrieving data from the internet simple to boost productivity and shorten the time it takes a user to look for the necessary query. Our software uses an application programming interface or API to locate the specific term the user seeks in the WordNet database. A stemming algorithm is used to modify the query multiple times until the right match is identified in the database. Utilizing Levenshtein distance, The classified data is entered into the relevant columns. Consequently, the user can examine the three columns separately and find his needs in that specific speech context. The main advantage of this type of searching is that everything is available in the API we use;therefore, no data set is required. © 2023 IEEE.

关键词： Learning algorithms

来源：评论

学校读者我要写书评

暂无评论

Intelligent Equipment and Special Robots - Proceedings of the 2nd international conference, ICIESR 2023

Intelligent Equipment and Special Robots - Proceedings of th...

引用

2nd international conference on Intelligent Equipment and Special Robots, ICIESR 2023

ISBN: (纸本)9781643685144

The proceedings contain 80 papers. The topics discussed include: minibus booming noise reduction based on the driveline system torsional vibration control;design and implementation of multi-function logistics robots for intelligent warehousing;research on stability of integral type second order variable structure control for aircraft pitch channel;design of the slave hand structure and interference detection for the master-slave craniotomy surgical robot;research on speed sensorless vector control of permanent magnet synchronous motor;an intelligent lotus root harvesting equipment;a machine vision-based edge detection method for belt lap of pipe belt conveyor;design of infrared automatic running water alarm device;belt rotation in the pipe conveyor: research on a detection method based on image processing;and design and implementation of post-disaster search and rescue robot based on Beidou navigation and positioning system.

关键词：

来源：评论

学校读者我要写书评

暂无评论

An optimized neural network approach and its application to classification problems 4

An optimized neural network approach and its application to ...

引用

4th international conference on computers, Information processing and Advanced Education, CIPAE 2023

作者： Han, Jie Song, Hongru Chen, Buyun Tongji University College of Electronics and Information Engineering Shanghai China Beihang University School of Economics and Management Beijing China Nanjing University of Science and Technology School of Computer Science and Engineering Nanjing China

ISBN: (纸本)9798350342710

Traditional neural network models are plagued with slow training speed and low classification accuracy, posing numerous challenges to the development of image classification technology. To address these issues, this paper employs a multi-strategy integrated optimization framework to optimize the training speed and classification accuracy of the model on the basis of the Resnet-18 network model. Firstly, the center loss function is introduced to optimize the softmax loss function, thereby improving the classification accuracy. Secondly, the original SGD optimizer is replaced with the Adam optimizer to address the slow training speed of the Resnet-18 network model. A garbage dataset is utilized to validate the effectiveness and feasibility of the proposed algorithm. The results demonstrate that after 40 rounds of training, the classification accuracy of the model optimized by multiple strategies increased from 81.42% to 87.42%. The neural network model optimized by multiple strategies can effectively identify classification problems, thereby enhancing the accuracy and stability of the model. © 2023 IEEE.

关键词： Neural network models

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 << < 491 492 493 494 495 496 497 498 499 500 > >>

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：