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

78,730 篇 会议
800 篇 期刊文献
328 册 图书
2 篇 学位论文

馆藏范围

79,860 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

49,806 篇 工学
- 29,031 篇 计算机科学与技术...
- 23,047 篇 电气工程
- 16,841 篇 软件工程
- 16,495 篇 信息与通信工程
- 5,187 篇 电子科学与技术（可...
- 4,842 篇 光学工程
- 4,530 篇 控制科学与工程
- 3,423 篇 生物医学工程（可授...
- 3,097 篇 机械工程
- 2,823 篇 仪器科学与技术
- 2,034 篇 生物工程
- 702 篇 化学工程与技术
- 560 篇 材料科学与工程（可...
- 517 篇 动力工程及工程热...
- 514 篇 航空宇航科学与技...
- 496 篇 交通运输工程
- 484 篇 安全科学与工程
- 473 篇 网络空间安全
19,857 篇 理学
- 12,171 篇 物理学
- 7,866 篇 数学
- 2,310 篇 生物学
- 2,214 篇 统计学（可授理学、...
- 1,567 篇 系统科学
- 860 篇 化学
10,888 篇 医学
- 10,413 篇 临床医学
- 1,076 篇 基础医学(可授医学...
- 1,034 篇 特种医学
- 694 篇 药学(可授医学、理...
3,230 篇 管理学
- 2,003 篇 管理科学与工程(可...
- 1,353 篇 图书情报与档案管...
391 篇 农学
350 篇 法学
286 篇 军事学
177 篇 经济学
119 篇 教育学
117 篇 文学
67 篇 艺术学

主题

7,225 篇 image processing
6,666 篇 signal processin...
5,268 篇 image coding
5,028 篇 image segmentati...
4,068 篇 image reconstruc...
3,859 篇 signal processin...
3,202 篇 feature extracti...
2,238 篇 image analysis
1,998 篇 digital signal p...
1,712 篇 robustness
1,696 篇 image edge detec...
1,682 篇 cameras
1,649 篇 training
1,619 篇 deep learning
1,589 篇 speech processin...
1,464 篇 pixel
1,425 篇 image resolution
1,381 篇 image enhancemen...
1,332 篇 image color anal...
1,187 篇 visualization

机构

53 篇 university of sc...
49 篇 univ chinese aca...
41 篇 department of si...
40 篇 institute for in...
40 篇 shanghai jiao to...
39 篇 tsinghua univers...
38 篇 school of electr...
38 篇 shanghai jiao to...
36 篇 national institu...
36 篇 school of comput...
34 篇 princeton univ d...
34 篇 beijing inst tec...
33 篇 ibm thomas j. wa...
33 篇 shenzhen interna...
30 篇 institute of inf...
30 篇 beijing key labo...
28 篇 zhejiang univers...
27 篇 nanyang technol ...
27 篇 centre for multi...
27 篇 astar inst infoc...

作者

51 篇 zhang lei
46 篇 wiegand thomas
40 篇 yang bin
33 篇 jie yang
32 篇 jing zhang
32 篇 kaup andre
31 篇 m. vetterli
29 篇 vetterli martin
29 篇 m. gabbouj
28 篇 li li
27 篇 guangtao zhai
27 篇 li xin
27 篇 wang jing
26 篇 karam lina j.
25 篇 jian wang
24 篇 zhang tao
24 篇 m.j.t. smith
24 篇 li yang
24 篇 jun wang
23 篇 kuo c. -c. jay

语言

76,532 篇 英文
2,520 篇 其他
503 篇 土耳其文
292 篇 中文
9 篇 俄文
5 篇 西班牙文
2 篇 法文
1 篇 葡萄牙文

检索条件"任意字段=IEEE International Conference on Signal and Image Processing Applications"

共 79860 条记录，以下是4511-4520 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：

Motion Matters: A Novel Motion Modeling for Cross-View Gait Feature Learning 48

Motion Matters: A Novel Motion Modeling for Cross-View Gait ...

引用

48th ieee international conference on Acoustics, Speech and signal processing, ICASSP 2023

作者： Li, Jingqi Gao, Jiaqi Zhang, Yuzhen Shan, Hongming Zhang, Junping School of Computer Science Shanghai Key Lab of Intelligent Information Processing China Institute of Science and Technology for Brain-inspired Intelligence Fudan University Shanghai200433 China

ISBN: (纸本)9781728163277

As a unique biometric that can be perceived at a distance, gait has broad applications in person authentication, social security and so on. Existing gait recognition methods suffer from changes in viewpoint and clothing and barely consider extracting diverse motion features, a fundamental characteristic in gaits, from gait sequences. This paper proposes a novel motion modeling method to extract the discriminative and robust representation. Specifically, we first extract the motion features from the encoded motion sequences in the shallow layer. Then we continuously enhance the motion feature in deep layers. This motion modeling approach is independent of mainstream work in building network architectures. As a result, one can apply this motion modeling method to any backbone to improve gait recognition performance. In this paper, we combine motion modeling with one commonly used backbone (GaitGL) as GaitGL-M to illustrate motion modeling. Extensive experimental results on two commonly-used crossview gait datasets demonstrate the superior performance of GaitGL-M over existing state-of-the-art methods. © 2023 ieee.

关键词： Network architecture

来源：评论

学校读者我要写书评

暂无评论

Brain Tumor Segmentation from MRI Scans using 2D U-Net and other U-Net-Based Models

Brain Tumor Segmentation from MRI Scans using 2D U-Net and o...

引用

2023 international conference on Artificial Intelligence Robotics, signal and image processing, AIRoSIP 2023

作者： Magboo, Ma. Sheila A. Coronel, Andrei D. University of the Philippines Manila College of Arts and Sciences Department of Physical Sciences and Mathematics Manila Philippines Ateneo de Manila University School of Science and Engineering Department of Information Systems and Computer Science Quezon City Philippines

ISBN: (纸本)9798350327472

In this study four deep learning-based image segmentation models were constructed to segment brain tumors from FLAIR and T1ce MRI modalities. The four models were 2D U-Net, and the three 2D U-Net based variants which are the U-Net VGG19, U-Net ResNet50, and U-Net InceptionV3. Both qualitative and quantitative methods of assessment were used to evaluate model performance. Qualitative methods include visual presentation of ground truth vis-à-vis the predicted segmentation in order to see how similar is the prediction vis-à-vis the ground truth. As for the quantitative metrics Dice coefficients of the whole tumor, necrotic/core, edema, and enhancing tumors were obtained along with the Mean IOU, Precision, Sensitivity, and Specificity. Generally, all models achieved good performance however in this study 2D U-Net emerged as the best model for getting the highest scores in almost all metrics. Clinical decision-support tools like this can provide timely and accurate information to help radiologists come up with more informed decisions associated with assessment of the tumor's aggressiveness, potential interventions or therapies, and in monitoring of treatment response over time. © 2023 ieee.

关键词： image segmentation

来源：评论

学校读者我要写书评

暂无评论

Simplifying Watermark Removal: Efficiently Enhancing Visual Integrity through Traditional image processing Techniques

Simplifying Watermark Removal: Efficiently Enhancing Visual ...

引用

2023 international conference on Evolutionary Algorithms and Soft Computing Techniques, EASCT 2023

作者： Motiramani, Maanaav Shinde, Abhitay Mukesh Patel School of Technology Management and Engineering Nmims Computer Engineering Mumbai India

ISBN: (纸本)9798350313413

This research paper presents a watermark removal technique for digital images using image processing methods, specifically thresholding with the Otsu method. Unlike complex deep learning algorithms, this approach focuses on simplicity and computational efficiency while achieving effective results. The Otsu method automatically determines an optimal threshold to separate the watermark from the background based on image segmentation. Experimental results demonstrate the efficacy of the proposed technique, showcasing high accuracy in removing watermarks with minimal distortion. Moreover, the method's computational efficiency makes it suitable for real-time applications. This research contributes to the field by highlighting the potential of traditional image processing techniques. The simplicity and interpretability of the approach make it accessible to researchers and practitioners with limited expertise in advanced methods. The results indicate promising performance in watermark removal for a diverse dataset of digital images with different watermark types and complexities. This research contributes valuable insights into effective and efficient watermark removal techniques, providing a practical solution for copyright protection, image authentication, and content restoration tasks. © 2023 ieee.

关键词： computational efficiency content preservation copyright protection digital images image authentication image processing image restoration noise reduction Otsu method post-processing real-time application thresholding traditional techniques visual integrity watermark removal

来源：评论

学校读者我要写书评

暂无评论

Dark Channel Prior based Single image Dehazing of Daylight Captures 6

Dark Channel Prior based Single Image Dehazing of Daylight C...

引用

6th international conference on Advanced Computing and Communication Technologies for High Performance applications (ACCTHPA)

作者： Ajith, Athira P. Vidyamol, K. Devassy, Binet Rose Manju, P. Sahrdaya Coll Engn & Technol Dept Elect & Commun Kodakara Kerala India

ISBN: (纸本)9798350398441

Real-time photographs are frequently distorted for a variety of reasons. Atmospheric factors like haze are the key factor that affects them. Every real-time image has to deal with the major problem of haze, but there are several ways to get rid of it now. The primary focus of this research is on real-time and synthetic daylight photographs. One of the most effective and popular methods for image dehazing is dark channel prior. In this study, we use a Guided Variance Weighted Average filter to improvise the transmission map and to produce a clear image. The quality of the image captured improves when the haze is removed, boosting the image's visibility. Dehazing is being used right now in many different domains, including satellite image dehazing, underwater image dehazing, nighttime image dehazing, and so on. In our work we mainly concentrated daylight images. We measured two important parameters of image processing ie,SSIM and *** compared our results with normal guided filter transmission map refinement and we get an improvement of approximately 10% and 40% in the parameters respectively.

关键词： atmospheric haze dehazing distortions Guided Variance Weighted Average filter SSIM PSNR

来源：评论

学校读者我要写书评

暂无评论

image processing-Based Methods to Improve the Robustness of Robotic Gripping 22

Image Processing-Based Methods to Improve the Robustness of ...

引用

ieee Joint 22nd international Symposium on Computational Intelligence and Informatics / 8th ieee international conference on Recent Achievements in Mechatronics, Automation, Computer Science and Robotics (CINTI-MACRo)

作者： Takacs, Kristof Elek, Renata Nagyne Haidegger, Tamas Obuda Univ Antal Bejczy Ctr Intelligent Robot Budapest Hungary Obuda Univ Doctoral Sch Appl Informat & Appl Math Budapest Hungary Obuda Univ John von Neumann Fac Informat Budapest Hungary Obuda Univ Univ Res & Innovat Ctr EKIK Budapest Hungary Austrian Ctr Med Innovat & Technol Wiener Neustadt Austria

ISBN: (纸本)9798350398823

image processing techniques are having a huge impact on most fields of robotics and industrial automation. Real-time methods are usually employed in complex automation tasks, assisting with decision making or directly guiding robots and machinery, while post-processing is usually used for retrospective assessment of systems and processes. While artificial intelligence-based image processing algorithms (relying usually on neural networks) are more common nowadays, "classical" image processing methods can also be used effectively for most modern applications. This paper focuses on optical flow-based image processing, proving its efficiency by presenting optical flow-based solutions for modern challenges in different fields of robotics, such as robot-assisted surgery and food processing. The application domain introduced in this paper is based on a smart robotic gripper designed to support automated robot cells in the meat industry. The gripper is capable of slip detection and secure gripping of soft, slippery tissues with the help of the implemented real-time algorithm.

关键词： image processing Optical flow Slip detection Robotic gripping

来源：评论

学校读者我要写书评

暂无评论

image-Based Plant Leaf Disease Detection using Deep Learning

Image-Based Plant Leaf Disease Detection using Deep Learning

引用

2024 international conference on signal processing, Computation, Electronics, Power and Telecommunication, IConSCEPT 2024

作者： Amritavarshini, S. Ganesh, K Sai Arvind, M. Teja, Kummari Ravi Vijayan, Devi Amrita School of Engineering Amrita Vishwa Vidyapeetham Department of Electronics and Communication Engineering Coimbatore India

ISBN: (纸本)9798331540685

Deep learning (DL) has recently gained a wide attention in detection of plant leaf diseases. However, the effectiveness of DL depends on the vast amount of data to derive the meaningful patterns which is crucial for accurate detection. This led to the appreciation of pretrained models, which are trained on large data for improved detection despite limited data in the required domain. This paper presents an ensemble-based DL model for detecting diseases in cucumber plant leaves. The proposed ensemble learning framework includes Resnet V50, MobileNetV2 and EfficientNet-B0 as the pretrained models which aggregate the output of these models by weighted ensemble averaging. Data augmentation and Hyperparameter tunings were performed to increase the model generalization and capability. The proposed ensemble approach was validated on Cucumber Disease Recognition Dataset and achieved an accuracy of 99.351%, precision of 99.363% and F1 Score of 99.352% that outperforms the underlying learning framework. Additionally, to provide more insights into the extent of a model to predict each class, Gradient-weighted Class Activation Mapping (Grad-CAM) is employed that produces heat maps highlighting the regions which contributed most to the prediction. © 2024 ieee.

关键词： Deep learning

来源：评论

学校读者我要写书评

暂无评论

A COARSE-TO-FINE MORPHOLOGICAL APPROACH WITH KNOWLEDGE-BASED RULES AND SELF-ADAPTING CORRECTION FOR LUNG NODULES SEGMENTATION 29

A COARSE-TO-FINE MORPHOLOGICAL APPROACH WITH KNOWLEDGE-BASED...

引用

ieee international conference on image processing (ICIP)

作者： Fu, Xinliang Zheng, Jiayin Mai, Juanyun Shao, Yanbo Wang, Minghao Li, Linyu Diao, Zhaoqi Chen, Yulong Xiao, Jianyu You, Jian Yin, Airu Yang, Yang Qiu, Xiangcheng Tao, Jinsheng Wang, Bo Ji, Hua Nankai Univ Coll Comp Sci Adv Med Data Res Ctr Tianjin Peoples R China Tianjin Med Univ Dept Lung Canc Tianjin Lung Canc Ctr Radiol Tianjin Peoples R China AnchorDx Med Co Guangzhou Peoples R China

ISBN: (数字)9781665496209

ISBN: (纸本)9781665496209

The segmentation module which precisely outlines the nodules is a crucial step in a computer-aided diagnosis(CAD) system. The most challenging part of such a module is how to achieve high accuracy of the segmentation, especially for the juxtapleural, non-solid and small nodules. In this research, we present a coarse-to-fine methodology that greatly improves the thresholding method performance with a novel self-adapting correction algorithm and effectively removes noisy pixels with well-defined knowledge-based principles. Compared with recent strong morphological baselines, our algorithm, by combining dataset features, achieves state-of-the-art performance on both the public LIDC-IDRI dataset (DSC 0.699) and our private LC015 dataset (DSC 0.760) which closely approaches the SOTA deep learning-based models' performances. Furthermore, unlike most available morphological methods that can only segment the isolated and well-circumscribed nodules accurately, the precision of our method is less affected by the nodule type or diameter, proving its applicability and generality.

关键词： biomedical image processing lung nodule segmentation self-adapting strategy

来源：评论

学校读者我要写书评

暂无评论

Algorithm and System Design for Optical Camera Communication Localization Based on image Distortion Correction 3

Algorithm and System Design for Optical Camera Communication...

引用

3rd international conference on Intelligent Communications and Computing, ICC 2023

作者： Ji, Wenjie Lou, Jiongnan Zhang, Xun Wang, Zefeng School of Information Engineering Huzhou University Huzhou China Institut Supérieur d'Électronique de Paris LISIT-ECoS Paris France

ISBN: (纸本)9798350308327

Camera-based Optical Camera Communication (OCC) technology is an important application of Visible Light Communication (VLC). It inherits the advantages of VLC, such as low cost, no electromagnetic interference, and environmental friendliness. Simultaneously, the optical images in OCC technology provide a wealth of location information, so combined with image processing technology, it's widely used in the positioning field. However, long-distance OCC requires the use of lenses to ensure signal transmission rates, which brings about image distortion issues, affecting the positioning accuracy. This paper introduces an OCC and positioning framework, and a new image distortion correction method was applied to the images, achieving centimeter-level positioning. To verify the optimization effect of the image distortion correction algorithm on positioning accuracy, we selected 475 test points for the experiment, and the results show that the average positioning error decreased by 11.30%. © 2023 ieee.

关键词： Cameras

来源：评论

学校读者我要写书评

暂无评论

RW-HAZE: A REAL-WORLD BENCHMARK DATASET TO EVALUATE QUANTITATIVELY DEHAZING ALGORITHMS 29

RW-HAZE: A REAL-WORLD BENCHMARK DATASET TO EVALUATE QUANTITA...

引用

ieee international conference on image processing (ICIP)

作者： Chen, Jiyou Wang, Shengchun Liu, Xin Yang, Gaobo Hunan Univ Sch Comp Sci & Elect Engn Changsha 410082 Peoples R China Hengyang Normal Univ Sch Phys & Elect Engn Hengyang 421008 Peoples R China Hunan Normal Univ Sch Informat Sci & Engn Changsha 410081 Peoples R China Hunan Appl Technol Univ Changde 415100 Peoples R China

ISBN: (数字)9781665496209

ISBN: (纸本)9781665496209

Most existing image dehazing approaches are able to achieve desirable results whose differences are too subtle for people to qualitatively judge. Therefore, it is important to adopt quantitative assessment on real-world hazy images. However, many dehazing works have not been quantitatively evaluated on real-world hazy images due to the lack of appropriate real-world datasets. In this work, we attempt to address the issue and present a well-aligned real-world benchmark dataset, namely RW-Haze, for image dehazing evaluation, which had been lacking for a long period of time. It contains 210 pairs of well-aligned haze-free images and hazy images with distinct haze densities, which were captured from six cities in China by fixed cameras. To the best of our knowledge, RW-Haze is the first real-world dataset that is made up of well-aligned image pairs of haze-free and hazy images with diverse haze levels. We select 13 state-of-the-art single image dehazing works for making comprehensive evaluations among them on RW-Haze dataset. Experimental results show that there still exist rich rooms for image dehazing research to improve its robustness on natural hazy images, especially dense haze scenes.

关键词： image dehazing benchmark dataset performance evaluation

来源：评论

学校读者我要写书评

暂无评论

Stargan-vc Based Cross-Domain Data Augmentation for Speaker Verification 48

Stargan-vc Based Cross-Domain Data Augmentation for Speaker ...

引用

48th ieee international conference on Acoustics, Speech and signal processing, ICASSP 2023

作者： Hu, Hang-Rui Song, Yan Zhang, Jian-Tao Dai, Li-Rong McLoughlin, Ian Zhuo, Zhu Zhou, Yu Li, Yu-Hong Xue, Hui University of Science and Technology of China National Engineering Research Center for Speech and Language Information Processing Hefei China Alibaba Group China

ISBN: (纸本)9781728163277

Automatic speaker verification (ASV) faces domain shift caused by the mismatch of intrinsic and extrinsic factors, such as recording device and speaking style, in real-world applications, which leads to severe performance degradation. Since single-speaker multi-condition (SSMC) data is difficult to collect in practice, existing domain adaptation methods are hard to ensure the feature consistency of the same class but different domains. To this end, we propose a cross-domain data generation method to obtain a domain-invariant ASV system. Inspired by voice conversion (VC) task, a StarGAN based generative model first learns cross-domain mappings from SSMC data, and then generates missing domain data for all speakers, thus increasing the intra-class diversity of the training set. Considering the difference between ASV and VC task, we renovate the corresponding training objectives and network structure to make the adaptation task-specific. Evaluations on achieve a relative performance improvement of about 5-8% over the baseline in terms of minDCF and EER, outperforming the CNSRC winner's system of the equivalent scale. © 2023 ieee.

关键词： Data Augmentation Domain Adaptation Speaker Verification StarGAN

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 << < 448 449 450 451 452 453 454 455 456 457 > >>

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：