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

13,228 篇 会议
218 篇 期刊文献
176 册 图书
3 篇 学位论文
1 篇 资讯

馆藏范围

13,626 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

7,033 篇 工学
- 4,653 篇 计算机科学与技术...
- 2,295 篇 软件工程
- 2,120 篇 电气工程
- 1,334 篇 信息与通信工程
- 867 篇 控制科学与工程
- 689 篇 光学工程
- 503 篇 生物医学工程（可授...
- 470 篇 电子科学与技术（可...
- 469 篇 机械工程
- 462 篇 仪器科学与技术
- 336 篇 生物工程
- 242 篇 测绘科学与技术
- 167 篇 材料科学与工程（可...
- 160 篇 航空宇航科学与技...
- 145 篇 交通运输工程
- 107 篇 安全科学与工程
- 92 篇 化学工程与技术
3,497 篇 理学
- 2,406 篇 物理学
- 932 篇 数学
- 394 篇 生物学
- 249 篇 系统科学
- 240 篇 统计学（可授理学、...
- 122 篇 化学
1,508 篇 医学
- 1,336 篇 临床医学
- 210 篇 特种医学
- 171 篇 基础医学(可授医学...
- 111 篇 药学(可授医学、理...
725 篇 管理学
- 438 篇 管理科学与工程(可...
- 311 篇 图书情报与档案管...
- 89 篇 工商管理
62 篇 法学
61 篇 农学
30 篇 教育学
29 篇 经济学
29 篇 文学
20 篇 军事学
18 篇 艺术学
1 篇 哲学

主题

2,760 篇 image processing
1,431 篇 image segmentati...
1,168 篇 signal processin...
618 篇 feature extracti...
616 篇 cameras
587 篇 image edge detec...
567 篇 signal processin...
489 篇 image coding
489 篇 image reconstruc...
470 篇 real-time system...
399 篇 algorithm design...
352 篇 image color anal...
312 篇 image enhancemen...
311 篇 pixel
310 篇 deep learning
307 篇 real time system...
302 篇 image analysis
301 篇 computer archite...
299 篇 hardware
296 篇 object detection

机构

22 篇 signal and image...
20 篇 samara national ...
14 篇 school of electr...
11 篇 samara national ...
11 篇 purdue univ sch ...
11 篇 univ texas san a...
11 篇 department of el...
11 篇 school of electr...
10 篇 samara national ...
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 university of ch...
8 篇 electrical compu...
8 篇 image processing...
8 篇 information syst...
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
9 篇 c.-c.j. kuo
8 篇 frank hannig
8 篇 hannig frank
8 篇 ilias maglogiann...
8 篇 egiazarian karen
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
7 篇 kupriyanov a.v.

语言

13,395 篇 英文
140 篇 其他
78 篇 中文
20 篇 土耳其文
3 篇 西班牙文
3 篇 葡萄牙文
2 篇 俄文
1 篇 法文

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

共 13626 条记录，以下是241-250 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：

Vision Transformer Based Hash Coding for Efficient image and Audio Retrieval with Global and Local Equilibrium Distance Constraints

Vision Transformer Based Hash Coding for Efficient Image and...

引用

2024 IEEE International conference on systems, Man, and Cybernetics, SMC 2024

作者： Liu, Ye Pan, Yan Yin, Jian School of Computer Science and Engineering Sun Yat-sen University Guangzhou China Guangdong Key Laboratory of Big Data Analysis and Processing Guangzhou China Lizhi Inc. Artificial Intelligence and Big Data Department Guangzhou Beijing China School of Artificial Intelligence Sun Yat-sen University Zhuhai China

ISBN: (纸本)9781665410205

With the application of efficient retrieval in information systems and retrieval augmented generation with vector database for large language models, hash coding algorithms have made progress in recent years. The rise of transformer technology in the field of deep learning has brought the possibility to further improve the effect of hash coding algorithms. We introduce the vision transformer framework to both images and audios, and propose a novel approach for the tasks of multi-label image retrieval and audio event retrieval. In the proposed hash coding model, global and local equilibrium distance constraints are integrated, so that the hash codes for images can be better obtained through the global hash centers and local similar samples. In order to realize end-to-end training and hash code generation for audios, we adopt the adapter of mel spectrogram, thus the proposed approach can be simply converted and applied to audio hash coding. Comparative experiments verify that better results can be achieved on multiple image and audio datasets. © 2024 IEEE.

关键词： image coding

来源：评论

学校读者我要写书评

暂无评论

Recognition of Lawn Weeds based on Retinex Algorithm with Local Density Fusion 15

Recognition of Lawn Weeds based on Retinex Algorithm with Lo...

引用

15th International conference on Signal processing systems, ICSPS 2023

作者： Hua, Chunjian Li, Xiuqin Zhang, Airong School of Mechanical Engineering Jiangnan University Jiangsu China Wuxi Pioneer Intelligent Equipment Company China

ISBN: (纸本)9781510675056

In order to solve the problem of difficulty in segmenting the foreground of lawn weed images due to the similarity between the foreground and background grayscale, this paper proposes a Retinex enhancement algorithm based on local density fusion. Firstly, image preprocessing is completed based on local variance to realize prominent image foreground and smooth cluttered background;Secondly, using multi threshold segmentation and operational differentiation, pixels are divided into three categories: foreground, background, and pixels to be subdivided. Local density is used to extract spatial information of pixels to be subdivided;Finally, the sigmoid function is used to optimize the reflection component grayscale transformation coefficient, achieving the fusion of local density information and obtaining the final image. The results show that the algorithm proposed in this paper expands the gray difference between weeds and lawn grass while suppressing background noise;Compared with other enhancement algorithms, the peak signal-to-noise ratio, average running time, and segmentation accuracy have all been improved greatly. At the same time, through image analysis, it has been found that the algorithm results in occasional problems of uneven brightness and over segmentation of fine leaf weeds in the image. In response to these two problems, this article finally proposes two corresponding optimization measures, namely global brightness adjustment based on a new adaptive gamma function and Retinex reflection component saturation adjustment based on AHE. © 2024 SPIE.

关键词： image enhancement

来源：评论

学校读者我要写书评

暂无评论

An image processing Approach for Weed Detection Using Deep Convolutional Neural Network 6th

An Image Processing Approach for Weed Detection Using Deep C...

引用

6th International conference on Soft Computing and Signal processing, ICSCSP 2023

作者： Aparna, Yerrolla Bhaskar, Nuthanakanti Srujan Raju, K. Divya, G. Ali Ahammed, G.F. Banu, Reshma Department of CSE CMR Technical Campus Telangana Hyderabad India Department of IT CMR Technical Campus Telangana Hyderabad India Department of CSE VTU Centre for Post Graduate Studies Karnataka Mysuru India Department of CSE VVIET Karnataka Mysuru India

ISBN: (纸本)9789819984503

According to weeds increased competition with crops, they have been given responsible for 45% of crop losses in the agricultural industry. This percentage can be decreased with an effective method of weed detection. The conventional weeding techniques take a long time and largely require manual labor. So, this process has to be automated. As a result, an image processing approach for weed detection implementing Deep Convolutional Neural Network is provided in this analysis. The purpose of this study, the possibilities of classifying and detecting weeds from Unmanned Aerial Vehicle (UAV) images using deep learning techniques. The presented method will achieve high accuracy when compared to state-of-the-art algorithms. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Learning algorithms

来源：评论

学校读者我要写书评

暂无评论

ENHANCED BIT-RATE PERFORMANCE FOR VISIBLE LIGHT COMMUNICATION systems BETWEEN LED AND MOBILE CAMERA 10

ENHANCED BIT-RATE PERFORMANCE FOR VISIBLE LIGHT COMMUNICATIO...

引用

10th IEEE International conference on Communications and Electronics (IEEE ICCE)

作者： Nam Hoang Nguyen Quan Dinh Nguyen Hanoi Univ Sci & Technol HUST Sch Elect & Elect Engn Hanoi Vietnam Hanoi Univ Sci & Technol HUST Sch Elect & Elect Engn Dept Automat Hanoi Vietnam

ISBN: (纸本)9798350379808;9798350379792

Multiple Pulse Position Modulation (MPPM) has become an important method in optical communication, especially between LEDs and mobile cameras. This paper proposes an MPPM modulation and demodulation method for Visible Light Communication (VLC) systems using LED bulbs and the camera for the transceiver that addresses data transmission performance barriers when increasing the distance between receiver and transmitter, as well as helps minimize comparison error rates compared with other modulation techniques. The PPM and MPPM modulation methods are both highly rated for their power and bandwidth efficiency. Using binary codes and image data processing algorithms at the receiver, along with optimized mapping, aids in minimizing character errors and enhancing communication performance. Additionally, integrating MPPM into the VLC system solves the problem of brightness control in real-world scenarios. The MPPM-based brightness control system is capable of dynamically adjusting brightness, providing higher communication performance and stability for the VLC system.

关键词： Multiple Pulse Position Modulation (MPPM) Visible Light Communication (VLC) Optical Camera Communication (OCC) image processing CMOS sensor

来源：评论

学校读者我要写书评

暂无评论

Hierarchy-Agnostic Unsupervised Segmentation: Parsing Semantic image Structure 38

Hierarchy-Agnostic Unsupervised Segmentation: Parsing Semant...

引用

38th conference on Neural Information processing systems, NeurIPS 2024

作者： Rossetti, Simone Pirri, Fiora DIAG Sapienza University of Rome Italy DeepPlants Italy

Unsupervised semantic segmentation aims to discover groupings within images, capturing objects' view-invariance without external supervision. Moreover, this task is inherently ambiguous due to the varying levels of semantic granularity. Existing methods often bypass this ambiguity using dataset-specific priors. In our research, we address this ambiguity head-on and provide a universal tool for pixel-level semantic parsing of images guided by the latent representations encoded in self-supervised models. We introduce a novel algebraic approach that recursively decomposes an image into nested subgraphs, dynamically estimating their count and ensuring clear separation. The innovative approach identifies scene-specific primitives and constructs a hierarchy-agnostic tree of semantic regions from the image pixels. The model captures fine and coarse semantic details, producing a nuanced and unbiased segmentation. We present a new metric for estimating the quality of the semantic segmentation of discovered elements on different levels of the hierarchy. The metric validates the intrinsic nature of the compositional relations among parts, objects, and scenes in a hierarchy-agnostic domain. Our results prove the power of this methodology, uncovering semantic regions without prior definitions and scaling effectively across various datasets. This robust framework for unsupervised image segmentation proves more accurate semantic hierarchical relationships between scene elements than traditional algorithms. The experiments underscore its potential for broad applicability in image analysis tasks, showcasing its ability to deliver a detailed and unbiased segmentation that surpasses existing unsupervised methods. © 2024 Neural information processing systems foundation. All rights reserved.

关键词：

来源：评论

学校读者我要写书评

暂无评论

image Compression and Reconstruction Based on Quantum Network

Image Compression and Reconstruction Based on Quantum Networ...

引用

1st International conference on Smart Energy systems and Artificial Intelligence (SESAI)

作者： Ji, Xun Liu, Qin Huang, Shan Chen, Andi Wu, Shengjun Nanjing Univ Sch Phys Natl Lab Solid State Microstruct Nanjing 210093 Peoples R China Nanjing Univ Collaborat Innovat Ctr Adv Microstruct Nanjing 210093 Peoples R China Nanjing Univ Inst Brain Sci Nanjing 210023 Peoples R China Nanjing Univ Kuang Yarning Honors Sch Nanjing 210023 Peoples R China Univ Sci & Technol China Hefei Natl Lab Hefei 230088 Peoples R China

ISBN: (纸本)9798350364613;9798350364606

Quantum network is an emerging type of network structure that leverages the principles of quantum mechanics to transmit and process information. Compared with classical data reconstruction algorithms, quantum networks make image reconstruction more efficient and accurate. They can also process more complex image information using fewer bits and faster parallel computing capabilities. Therefore, this paper will discuss image reconstruction methods based on our quantum network and explore their potential applications in image processing. We will introduce the basic structure of the quantum network, the process of image compression and reconstruction, and the specific parameter training method. Through this study, we can achieve a classical image reconstruction accuracy of 97.57%. Our quantum network design will introduce novel ideas and methods for image reconstruction in the future.

关键词： image compression and reconstruction quantum network parameter training

来源：评论

学校读者我要写书评

暂无评论

Deep Learning-Driven Black Box Approach For image Segmentation 1

Deep Learning-Driven Black Box Approach For Image Segmentati...

引用

1st IEEE International conference on Advances in Computing, Communication and Networking, ICAC2N 2024

作者： Sudha, Nuthalapati Kasetty, Sai Bhargav Madhuri, K. Sai Nikitha, Jajala Margret, Issac Neha Rajakumar, K. Mahindra University School of Engineering Telangana Hyderabad India V.I.T - University School of Computer Science and Engineering Tamilnadu Vellore India BVRIT Narsapur Dept. of Computer Science and Data Science Telangana Hyderabad India VNR VIET Dept. of CSE - AIML and IoT Telangana Hyderabad India

ISBN: (纸本)9798350356816

The diagnosis of a range of eye disorders needs to categorize the retinal vessels. Computerized implementation of this process is becoming increasingly essential for automated screening systems for retinal diseases. To achieve a more accurate extraction of the retinal vessels, a new pre-processing step is proposed. These proposed pre-processes are also compared to other algorithms to assess their impact. The proposed pre-processing process consists of two phases. The first phase is the implementation and validation of the pre-processing modules, and the second phase is the implementation of these pre-processes onto the retinal vessels that were to be extracted. To achieve a significantly improved segmented vessel image, the proposed pre-process phase employs a common image-processing technique. In recent years, there has been a great deal of focus on retinal vessel identification studies, and the importance of assessing and confirming the findings of retinal vessel segmentation. © 2024 IEEE.

关键词： image segmentation

来源：评论

学校读者我要写书评

暂无评论

Radar based Continuous Indoor Activity Recognition using Deep Learning 6

Radar based Continuous Indoor Activity Recognition using Dee...

引用

conference on Big Data VI - Learning, Analytics, and Applications

作者： Breaker, Henry Hamza, Syed Ali Widener Univ Sch Engn Chester PA 19013 USA

ISBN: (纸本)9781510673915;9781510673908

Radar-based sensing emerges as a promising alternative to cameras and wearable devices for indoor human activity recognition. Unlike wearables, radar sensors offer non-contact and unobtrusive monitoring, while being insensitive to lighting conditions and preserving privacy as compared to cameras. This paper addresses the task of continuous and sequential classification of daily life activities, unlike the problem to isolate distinct motions in isolation. Upon acquiring raw radar data containing sequences of motions, an event detection algorithm, the Short-Time-Average/Long-Time-Average (STA/LTA) algorithm, is utilized to detect individual motion segments. By recognizing breaks between transitions from one motion type to another, the STA/LTA detector isolates individual activity segments. To ensure consistent input shapes for activities of varying durations, image resizing and cropping techniques are employed. Furthermore, data augmentation techniques are applied to modify micro-Doppler signatures, enhancing the classification system's robustness and providing additional data for training.

关键词： image segmentation Radar Radar signal processing Education and training Matrices Doppler effect Sensors Motion detection image classification image processing algorithms and systems

来源：评论

学校读者我要写书评

暂无评论

Proceedings of 9th International conference on Science, Technology, Engineering and Mathematics: The Role of Emerging Technologies in Digital Transformation, ICONSTEM 2024

Proceedings of 9th International Conference on Science, Tech...

引用

9th International conference on Science, Technology, Engineering and Mathematics, ICONSTEM 2024

ISBN: (纸本)9798350365092

The proceedings contain 325 papers. The topics discussed include: significance and comparison of PCA in removing multicollinearity of variables in face detection and recognition;plant species classification using deep learning;optimized local secret sharing techniques for distributed blockchain networks;NNXG: privacy based image processing in pneumonia detection from chest x-ray using modified neural network architecture and XGBoost;a systematization of polycystic ovary syndrome using ultrasonography image follicle screening;automatic number plate recognition system using deep learning algorithms and image processing for surveillance;ai-enhanced intelligent control systems for electric vehicles;and speculative analysis of CNN's and ResNet50 for the identification of emotion from facial expressions.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Quantum Computing for image processing and Artificial Vision: Innovations in Advanced Quantum Physics 5

Quantum Computing for Image Processing and Artificial Vision...

引用

5th International conference on Pattern Analysis and Intelligent systems, PAIS 2023

作者： Nouioua, Tarek Yahiaoui, Nour El-Houda University of Tebessa Faculty of Exact Sciences and Sciences of Nature and Life Department of Mathematics and Computer Sciences Tebessa Algeria Photonics Optics Professional Formation Center Dris Mohamed El-Hadi Residential Formation Tebessa Algeria

ISBN: (纸本)9798350381450

This paper delves into the groundbreaking potential of quantum computing, with a primary focus on qubits and their wide-ranging applications. It explores the fundamental principles of quantum physics, such as entanglement and superposition, demonstrating how these principles underpin innovative approaches to data representation and processing. Real-world demonstrations utilizing quantum hardware underscore the exponential advantages that quantum computing offers in terms of both speed and storage capacity. Within the realm of quantum computing, one major objective is to address the issue of decoherence, and the article proposes the utilization of photons as qubits due to their virtually infinite decoherence times. This introduction of Photonic quantum computing paves the way for a robust and scalable quantum computing approach, with specific objectives centered around enhancing the stability and scalability of quantum systems. Furthermore, the article explores the fascinating domain of quantum image processing, aiming to revolutionize the fields of image analysis and compression. Quantum image representations are envisioned to significantly enhance storage efficiency, and the article sets objectives to develop practical quantum algorithms for image processing tasks. To illustrate the practicality of these advancements, the article showcases a real-world implementation of quantum edge detection, emphasizing its promising applications not only in medical imaging but also in advancing artificial vision systems. © 2023 IEEE.

关键词： image enhancement

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 << < 21 22 23 24 25 26 27 28 29 30 > >>

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：