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

13,254 篇 会议
221 篇 期刊文献
178 册 图书
3 篇 学位论文
1 篇 资讯

馆藏范围

13,657 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

7,053 篇 工学
- 4,667 篇 计算机科学与技术...
- 2,303 篇 软件工程
- 2,125 篇 电气工程
- 1,340 篇 信息与通信工程
- 872 篇 控制科学与工程
- 697 篇 光学工程
- 503 篇 生物医学工程（可授...
- 476 篇 电子科学与技术（可...
- 471 篇 机械工程
- 463 篇 仪器科学与技术
- 336 篇 生物工程
- 243 篇 测绘科学与技术
- 170 篇 材料科学与工程（可...
- 160 篇 航空宇航科学与技...
- 147 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
3,505 篇 理学
- 2,411 篇 物理学
- 938 篇 数学
- 394 篇 生物学
- 249 篇 系统科学
- 241 篇 统计学（可授理学、...
- 123 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...
726 篇 管理学
- 438 篇 管理科学与工程(可...
- 312 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

2,764 篇 image processing
1,431 篇 image segmentati...
1,168 篇 signal processin...
618 篇 feature extracti...
617 篇 cameras
588 篇 image edge detec...
567 篇 signal processin...
491 篇 image reconstruc...
489 篇 image coding
472 篇 real-time system...
399 篇 algorithm design...
352 篇 image color anal...
314 篇 deep learning
313 篇 image enhancemen...
311 篇 pixel
307 篇 real time system...
302 篇 image analysis
301 篇 computer archite...
299 篇 hardware
297 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

13,346 篇 英文
220 篇 其他
79 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 13657 条记录，以下是781-790 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：

Comprehensive Analysis and Benchmarking of De-raining Techniques Through a Rain Model Approach

Comprehensive Analysis and Benchmarking of De-raining Techni...

引用

conference on Multimodal image Exploitation and Learning

作者： Badrieva, Shokhina Bernabel, Silvano Agaian, Sos GC CUNY Coll Staten Isl CSI Dept Comp Sci New York NY 10314 USA

ISBN: (纸本)9781510650770;9781510650763

Adverse weather conditions, such as rain, impact the visual quality of images and significantly impact the performance of vision systems for drone-based video surveillance and self-driving car applications. It is essential to develop algorithms that can automatically remove these artifacts and not degrade the rest of the image. Several methods have been proposed in literature and practice to address this problem. They mainly focus on specific rain models, such as droplets, streaks, mist, or a combination of these. Real-life rain images are largely randomized with diverse rain sizes, types, densities, and directions. Furthermore, rain impacts various image parts differently and is often randomly distributed. Most existing de-raining algorithms can't remove drops, streaks, and mist from images simultaneously. This paper addresses this issue by reviewing existing algorithms and datasets through a rain model lens. We present surveys and quantitative benchmarking of state-of-the-art intelligence algorithms based on the rain types they aim to remove. While other review papers exist on single image de-raining, our work looks at and outlines the different algorithms and datasets available for each specific rain model. Finally, the paper makes the following contributions: Select the most recent state of the art algorithms and show their performance for each rain type on our combination dataset called the Combination Rain Model Dataset Offers insights on the issues that still exist in the developing field of image de-raining and future steps in the field

关键词： De-rain rain removal deep learning algorithms digital image processing de-raining image applications rain model rain streak raindrop rain mist

来源：评论

学校读者我要写书评

暂无评论

Enhancing Robotic systems for Revolutionizing Healthcare Using Markov Decision Processes 6th

Enhancing Robotic Systems for Revolutionizing Healthcare Us...

引用

6th International conference on Recent Trends in image processing and Pattern Recognition, RTIP2R 2023

作者： Dahamou, Ikram Daoui, Cherki Laboratory of Information Processing and Decision Support Faculty of Sciences and Techniques Sultan Moulay Slimane University Béni-Mellal Morocco

ISBN: (纸本)9783031530814

This work is part of a research project carried out during the COVID-19 pandemic, involving the design and realization of an autonomous mobile hospital robot. Many real-world robotic tasks suffer from the critical characteristics: Noisy sensing, imperfect control, and environment changes. The Markov decision process MDP and its variants provide a mathematically based framework for modeling and solving robot decision and control tasks under uncertainty. This paper presents a review of Markov Decision Processes (MDPs) and their variants in the Control of Robotic systems. We begin by introducing the basic concepts of MDPs and their algorithms for solving completely observable decision problems, including value iteration and policy iteration. We then discuss the challenges associated with partially observable decision problems POMDPs. We review various approaches for solving POMDPs, including belief-state planning and Monte Carlo tree search. Finally, we discuss the concept of POMDP augmentation, which involves incorporating additional information into the decision-making process to improve performance. We present several examples of POMDP augmentation techniques, including the use of deep neural networks and transfer learning. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Markov processes

来源：评论

学校读者我要写书评

暂无评论

Performance Evaluation of Multiwavelet Transform for Single image Dehazing 3rd

Performance Evaluation of Multiwavelet Transform for Single ...

引用

3rd EAI International conference on Cognitive Computing and Cyber Physical systems, IC4S 2022

作者： Sankar, M. Ravi Srinivas, P. Praveena, V. Bhavani, D. Suseela, M. Sri Uma Srinivas, Y. Rao, Ch. Venkateswara Department of ECE Sasi Institute of Technology and Engineering Tadepalligudem India Department of ECE SRKR Engineering College Bhimavaram534202 India Department of ECE Vishnu Institute of Technology Bhimavaram534202 India

ISBN: (纸本)9783031289743

images captured in poor lighting conditions (such haze, fog, mist, or smog) have a lower level of visibility because air particles deflect light. Single picture dehazing techniques can restore clarity to a single hazy image. Even though Dark channel prior (DCP) has been the most used method for image dehazing algorithms, it has poor picture quality and requires a lot of adjustments for real time applications such as;computer vision, object detection. However, previous studies such as;Dark Channel Prior (DCP) on image dehazing agonises from a gigantic processing time and sleaze of the original image. In addition, the dimensions of the images have a significant effect on the performance of the dehazing algorithms. Hence, the main motive of this work is to minimize the computational overload either by reducing the size of the image or by accurate transmission map estimation without compromising the image quality. Hence, this work is focused on reducing the computational time for image dehazing through multilevel discrete (Haar) wavelet transform, in which the image dimensions has been reduced without degrading quality. The performance measures of proposed algorithm have been analysed in terms of PSNR, MMSE and SSIM and compared with existing DCP algorithm. The simulation results proven that, the computational time for proposed algorithm has been reduced by 90% when compared to DCP without degrading image quality. © 2023, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Wavelet transforms

来源：评论

学校读者我要写书评

暂无评论

An Intelligent image processing System for Enhancing Blood Vessel Segmentation on Low-Power SoC 23rd

An Intelligent Image Processing System for Enhancing Blood V...

引用

23rd International conference on Embedded Computer systems: Architectures, Modeling, and Simulation, SAMOS 2023

作者： Alsharari, Majed Mai, Son T. Garnier, Romain Reaño, Carlos Woods, Roger Queen’s University Belfast Belfast Northern IrelandBT9 5AF United Kingdom Universitat de València Valencia46100 Spain Jouf University Sakaka72341 Saudi Arabia

ISBN: (纸本)9783031460760

Machine learning offers the potential to enhance real-time image analysis in surgical operations. This paper presents results from the implementation of machine learning algorithms targeted for an intelligent image processing system comprising a custom CMOS image sensor and field programmable gate array. A novel method is presented for efficient image segmentation and minimises energy usage and requires low memory resources, which makes it suitable for implementation. Using two eigenvalues of the enhanced Hessian image, simplified traditional machine learning (ML) and deep learning (DL) methods are employed to learn the prediction of blood vessels. Quantitative comparisons are provided between different ML models based on accuracy, resource utilisation, throughput, and power usage. It is shown how a gradient boosting decision tree (GBDT) with 1000 times fewer parameters can achieve comparable state-of-the-art performance whilst only using a much smaller proportion of the resources and producing a 200 MHz design that operates at 1,779 frames per second at 3.62 W, making it highly suitable for the proposed system. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

关键词： Blood vessels

来源：评论

学校读者我要写书评

暂无评论

image-Based Physics Rendering for 3D Surface Reconstruction: A Survey 1

引用

3rd International conference on 3D Imaging Technologies - Multidimensional Signal processing and Deep Learning (3DIT-MSP and DL)

作者： Fang, Da Qin, Zhibao Liang, Shaojun Luo, Renbo Yunnan Normal Univ Yunnan Key Lab Opt Elect Informat Technol Kunming Yunnan Peoples R China

ISBN: (数字)9789811924484

ISBN: (纸本)9789811924484;9789811924477

Obtaining 3D surface information and physical material information of an object from images is an essential research prospect in computer vision and computer graphics. image-based 3D reconstruction is to extract the 3D depth information of the scene and objects from single or multiple images through specific algorithms to reconstruct the 3D model of objects or locations with robust realism, which has fast reconstruction speed, simple equipment, realistic effect, and minor technical data, which can better realize the virtualization of natural objects.

关键词： image 3D reconstruction Physics rendering

来源：评论

学校读者我要写书评

暂无评论

Multispectral image Compression Algorithm Based on Silced Convolutional LSTM 10th

Multispectral Image Compression Algorithm Based on Silced Co...

引用

10th International conference on Communications, Signal processing, and systems

作者： Wang, Kang Zhang, Ning Hu, Kedi Cao, Tongbo Nanjing Univ Aeronaut & Astronaut Coll Astronaut Nanjing 210016 Peoples R China AVIC Xian Flight Automat Control Res Inst Facri Natl Key Lab Sci & Technol Aircraft Control Xian 710065 Peoples R China

ISBN: (纸本)9789811903908;9789811903892

The multispectral imaging which are used for remote sensing imaging has a large amount of data, so this paper proposed a deep learningmethod which is based on sliced convolutional LSTM for multispectral image compression. Compared with other algorithms, the proposed algorithm further compresses the multispectral images by considering the similarity between the spectra and removing the inter-spectral redundancy. The proposed algorithm is based on end to end framework which is consist of encoder, decoder, entropy coding and quantizer. In experiments, the PSNR of proposed model is compared with that of JPEG2000 to evaluate the performance of our algorithm at several different bit rates.

关键词： Sliced convolutional LSTM Multispectral image Spectral features

来源：评论

学校读者我要写书评

暂无评论

Comparative Analysis of Clustering algorithms Based on Pixel image processing Using the Ssim Metric and Visual Analysis

Comparative Analysis of Clustering Algorithms Based on Pixel...

引用

International conference on Control systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA)

作者： Kseniia Alexandrovna Potapova The Institute of Information Technologies MIREA – Russian Technological University Moscow Russia

ISBN: (数字)9798331532178

ISBN: (纸本)9798331532185

The paper considers the problem of clustering pixels of a color raster image. The task is to compare the effectiveness of three different clustering methods: k-means, DBSCAN, agglomerative clustering. The k-means and agglomerative clustering algorithms consider different numbers of clusters: 2, 5, 10, 15, 20. The effectiveness is assessed using the SSIM metric and visual analysis of the resulting images.

关键词： Measurement Visualization Automation image color analysis Clustering algorithms Random access memory Process control Control systems Mathematical models Energy efficiency

来源：评论

学校读者我要写书评

暂无评论

Automatic Architectural Drawing Labelling Using Deep Convolutional Neural Network 13th

Automatic Architectural Drawing Labelling Using Deep Convolu...

引用

13th International conference on Sustainability and Energy in Buildings (SEB)

作者： Sajjadian, Seyed Masoud Jafari, Mina Chen, Xin Edinburgh Napier Univ Sch Engn & Built Environm Edinburgh Midlothian Scotland Univ Nottingham Sch Comp Sci Intelligent Modelling & Anal Grp Nottingham England

ISBN: (纸本)9789811662690;9789811662683

Architectural designers and technologists are able to make an assessment on buildability, thermal and hygrothermal performance of design details. To process drawings, human vision segments, classifies and distinguishes the drawing objects on the basis of their knowledge. With the rapid advancement of Artificial Intelligence methods, vast opportunities become available for performing tasks that used to require human intelligence or assistance by humans. image processing and analysis is one of these tasks that consists of the manipulation of images using algorithms. There are various applications in different fields, and the use of it is increasing exponentially. This paper explores the use of image processing in identifying building materials in order to check compliance with building regulations and identify anomalies. In this paper, an encoder-decoder based deep convolutional neural network (DRU-net) for image segmentation is applied on architectural images to segment various materials including insulations, bricks and concrete in the conceptual development phase. An experimental analysis is performed on numerous detail drawings and an evaluation is made by mathematical models.

关键词： Architectural detail drawings Deep learning image processing

来源：评论

学校读者我要写书评

暂无评论

Coalitions of UAVs for Victims Localization in Post-Avalanche Events using Advanced image processing Techniques 22

Coalitions of UAVs for Victims Localization in Post-Avalanch...

引用

12th Hellenic conference on Artificial Intelligence (SETN)

作者： Trigkas, Nikolaos Chalkiadakis, Georgios Tech Univ Crete Khania Greece

ISBN: (纸本)9781450395977

This paper puts forward a novel coalition formation framework to enable teams of Unmanned Aerial Vehicles (UAVs) to assist in victims localization and rescue in the case of post-avalanche events. Our framework consists of multiple components. First, a novel initial UAVs placement algorithm (adapting a known Brain-Storming Optimization algorithm to our setting);second, a novel coalition structure generation protocol that allows for the "online" calculation of coalition values that will eventually guide the rescue effort;and third, a simple but effective opinion aggregation protocol, that can be used to prioritize certain rescue operations in the event of "ambiguous" findings. Moreover, for the recognition task itself we employ two image recognition algorithms, used for the first time for the analysis of post-avalanche Search & Rescue Operations images. Our experimental evaluation verifies the applicability and effectiveness of our framework and its individual components.

关键词： Search & Rescue image processing Multi-Agent systems

来源：评论

学校读者我要写书评

暂无评论

Video compression dataset and benchmark of learning-based video-quality metrics 36

Video compression dataset and benchmark of learning-based vi...

引用

36th conference on Neural Information processing systems (NeurIPS)

作者： Antsiferova, Anastasia Lavrushkin, Sergey Smirnov, Maksim Gushchin, Alexander Vatolin, Dmitriy Kulikov, Dmitriy ISP RAS Res Ctr Trusted Artificial Intelligence Moscow Russia MSU Inst Artificial Intelligence E Lansing MI 48824 USA Lomonosov Moscow State Univ Moscow Russia

ISBN: (纸本)9781713871088

Video-quality measurement is a critical task in video processing. Nowadays, many implementations of new encoding standards - such as AV1, VVC, and LCEVC - use deep-learning-based decoding algorithms with perceptual metrics that serve as optimization objectives. But investigations of the performance of modern video- and image-quality metrics commonly employ videos compressed using older standards, such as AVC. In this paper, we present a new benchmark for video-quality metrics that evaluates video compression. It is based on a new dataset consisting of about 2,500 streams encoded using different standards, including AVC, HEVC, AV1, VP9, and VVC. Subjective scores were collected using crowdsourced pairwise comparisons. The list of evaluated metrics includes recent ones based on machine learning and neural networks. The results demonstrate that new no-reference metrics exhibit high correlation with subjective quality and approach the capability of top full-reference metrics.

关键词： image compression

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 << < 75 76 77 78 79 80 81 82 83 84 > >>

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：