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

674 篇 会议
12 册 图书
5 篇 期刊文献

馆藏范围

691 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

451 篇 工学
- 322 篇 计算机科学与技术...
- 258 篇 软件工程
- 196 篇 信息与通信工程
- 138 篇 电气工程
- 84 篇 生物工程
- 72 篇 光学工程
- 64 篇 生物医学工程（可授...
- 34 篇 电子科学与技术（可...
- 24 篇 化学工程与技术
- 22 篇 控制科学与工程
- 19 篇 材料科学与工程（可...
- 17 篇 仪器科学与技术
- 13 篇 机械工程
- 12 篇 安全科学与工程
- 9 篇 动力工程及工程热...
- 8 篇 交通运输工程
- 6 篇 网络空间安全
235 篇 理学
- 110 篇 物理学
- 87 篇 生物学
- 85 篇 数学
- 22 篇 化学
- 19 篇 统计学（可授理学、...
- 9 篇 系统科学
104 篇 医学
- 102 篇 临床医学
- 23 篇 基础医学(可授医学...
- 20 篇 药学(可授医学、理...
- 6 篇 公共卫生与预防医...
72 篇 管理学
- 43 篇 图书情报与档案管...
- 31 篇 管理科学与工程(可...
6 篇 法学
6 篇 教育学
- 6 篇 教育学
5 篇 农学
2 篇 军事学

主题

98 篇 signal processin...
58 篇 image segmentati...
58 篇 image processing
54 篇 signal processin...
43 篇 conferences
41 篇 deep learning
38 篇 image enhancemen...
33 篇 image recognitio...
29 篇 feature extracti...
28 篇 training
24 篇 image edge detec...
24 篇 convolution
24 篇 visualization
24 篇 image color anal...
24 篇 image reconstruc...
22 篇 image coding
22 篇 image classifica...
20 篇 neural networks
18 篇 robustness
17 篇 object detection

机构

6 篇 school of inform...
6 篇 college of elect...
5 篇 key laboratory o...
5 篇 university of ch...
5 篇 nanyang technol ...
5 篇 school of mathem...
4 篇 shanghai jiao to...
4 篇 laboratory of be...
4 篇 school of electr...
3 篇 shanghai jiao to...
3 篇 michigan state u...
3 篇 college of mathe...
3 篇 tsinghua shenzhe...
3 篇 shanghai jiao to...
3 篇 national laborat...
2 篇 university of sc...
2 篇 school of comput...
2 篇 school of cyber ...
2 篇 school of mathem...
2 篇 huazhong univers...

作者

6 篇 wang chao
6 篇 yang chuansheng
5 篇 yang yueting
5 篇 wen bihan
5 篇 yang jian
4 篇 jian wang
4 篇 tan anhui
4 篇 anil kumar
4 篇 bo feng
4 篇 chao xu
3 篇 ravishankar saip...
3 篇 zhou jiantao
3 篇 li min
3 篇 zhai guangtao
3 篇 nguyen trong-the
3 篇 feng bo
3 篇 parthasarathy ra...
3 篇 xiaotao huang
3 篇 wang liu
3 篇 fan zhun

语言

691 篇 英文

检索条件"任意字段=2021 International Conference on Advanced Algorithms and Signal Image Processing, AASIP 2021"

共 691 条记录，以下是161-170 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：

Color Endoscopic image Enhancement Technology Based on Nonlinear Unsharp Mask and CLAHE 6

Color Endoscopic Image Enhancement Technology Based on Nonli...

引用

6th international conference on signal and image processing, ICSIP 2021

作者： Fang, Shanshan Xu, Chao Feng, Bo Zhu, Yuzhe School of Electronics and Information Engineering AnHui University AnHui Engineering Laboratory of Agro-Ecological Big Data HeFei China

ISBN: (纸本)9780738133737

Since the existing endoscopic image enhancement algorithms cannot take into account the problems of detail enhancement, brightness preservation and color preservation, this paper proposes an endoscopic image enhancement based on an improved unsharp mask and CLAHE algorithm. First, perform local brightness adjustment and saturation correction on the input image, and secondly, it is also the key point to perform contrast enhancement, which is divided into low-frequency background enhancement and high-frequency detail enhancement. CLAHE is used to balance the background intensity of low frequency components, and then the high-frequency parts are nonlinearly sharpened. The improved nonlinear transfer function proposed is used, and the high-frequency texture part is emphasized in combination with canny edge detection. Finally, the objective and subjective quality assessment of the image is carried out. The results show that the proposed nonlinear method enriches the texture details such as blood vessels. The peak signal-to-noise ratio and Tenengrad gradient are better than those of the compared algorithm. and the algorithms in this paper are all enhanced in the brightness channel, which has the function of color preservation, so as to achieve the natural enhancement effect as much as possible. © 2021 IEEE.

关键词： image enhancement

来源：评论

学校读者我要写书评

暂无评论

Active-Passive Radar for Radar Imaging from Aerospace Carriers 19

Active-Passive Radar for Radar Imaging from Aerospace Carrie...

引用

19th international conference on Smart Technologies (IEEE EUROCON)

作者： Pavlikov, Volodymyr Volosyuk, Valeriy Zhyla, Simeon Tserne, Eduard Shmatko, Olexandr Sobkolov, Anton NAU Kharkiv Aviat Inst Aerosp Radioelect Syst Dept Kharkiv Ukraine

ISBN: (纸本)9781665432993

algorithms for radar imaging of the underlying surface from aerospace carriers have been synthesized. In doing so, we have considered two possible ways of image reception based on methods of active and passive remote sensing. On this basis, a radar complex, which allows forming images proportional to either the specific effective surface scattering or the effective noise temperature of the underlying surface, has been created. The structural scheme of the complex in accordance with both operating modes is developed. The results of radio image simulation are given.

关键词： radar imaging signal processing algorithm image filtration ultrawideband signals

来源：评论

学校读者我要写书评

暂无评论

Improved BM3D for Real image Denoising 13

Improved BM3D for Real Image Denoising

引用

13th international conference on Wireless Communications and signal processing, WCSP 2021

作者： Lin, Tianhui Hong, Hui Wu, Linhuang Fuzhou University College of Physics and Information Engineering Fuzhou China

ISBN: (纸本)9781665407854

Block-matching and 3D filtering (BM3D) and most of its improved algorithms assume that the intensity of the noise image is known, while the real image does not know the specific noise intensity. Moreover, many noise estimation methods have the problem that the estimated value is smaller than the true value. In this case, there will be a problem that the denoising effect of BM3D is not up to expectations. Therefore, we propose an improved BM3D algorithm. A local noise variance estimation algorithm combined with block matching is added to the traditional BM3D to obtain the noise variance of the target block and let it participate in subsequent calculations. The experimental results show that the improved algorithm solves the shortcoming that BM3D cannot directly denoise the real image. At the same time, the algorithm solves the problem that the overall noise variance estimate of the image is too small, which leads to the poor denoising effect of BM3D. © 2021 IEEE.

关键词： image denoising

来源：评论

学校读者我要写书评

暂无评论

Research on Evaluation Method of image Blending Based image Simulation 6

Research on Evaluation Method of Image Blending Based Image ...

引用

6th IEEE international conference on Intelligent Computing and signal processing, ICSP 2021

作者： Zhang, Yu Zhang, Yan Shi, Zhiguang Shi, Xiaoran Liu, Di Suo, Yuchang National University of Defense Technology National Key Laboratory of Science and Technology on Automatic Target Recognition College of Electronic Science and Technology Changsha Hunan Province China

ISBN: (纸本)9780738143705

Object detection and tracking algorithms for specific targets are important technologies in the fields of autonomous driving and video surveillance. The verification of related algorithms and the training of data-driven machine learning methods often rely on high-quality and large-scale data support. Therefore, data simulation methods are usually used to supplement the quantity and richness of data. This paper proposes an image simulation performance evaluation method based on the Probably Approximately Correct (PAC) learnable theory: experience consistency loss, which is used to quantitatively evaluate simulated images. Compared with the traditional performance evaluation method based on expert score and Turing test, this evaluation method can objectively and quantitatively reflect the characteristic consistency between the simulated image and the real image. The experimental results show that the evaluation results of this method are consistent with the qualitative analysis results, which can directly reflect the performance improvement of the simulation image for the machine learning model. © 2021 IEEE.

关键词： image enhancement

来源：评论

学校读者我要写书评

暂无评论

Expression Recognition Based on Attention Mechanism and Length Feature of Facial Landmark 13

Expression Recognition Based on Attention Mechanism and Leng...

引用

13th international conference on Wireless Communications and signal processing, WCSP 2021

作者： Yang, Qian Liu, Feng Zhao, Zhenglai Nanjing University of Posts and Telecommunications Nanjing China Nanjing University of Posts and Telecommunications Jiangsu Key Lab of Image Processing Image Communications Nanjing China

ISBN: (纸本)9781665407854

In view of the fact that the proportion of face in the whole image is small and the face posture is skew, which leads to the low accuracy of facial expression recognition, this paper proposes a two-branch neural network based on attention mechanism and length feature of facial landmark. The first branch is based on the modified VGG19 and the integration of the convolutional block attention module (CBAM), which focuses on the extraction of important features of expression. The second branch extracts 68 feature points from the face image, and calculates the Euler distance between these feature points to acquire the length information of 2278 dimensions, and is finally normalized and fed into the full connection layer. The network composed of the first branch and the second branch is trained by joint fine-tuning, where L2 regularization is added to prevent overfitting. The proposed method is tested and verified on Jaffe, CK + and FER +, and the highest accuracy is 93.48%,96.12% and 84.73% respectively. The performance of the proposed method is more advance than many existing algorithms, which shows that the proposed model has good accuracy and robustness. © 2021 IEEE.

关键词： Face recognition

来源：评论

学校读者我要写书评

暂无评论

Hyper-Parameters Tuning for Hyperspectral image Classification 6

Hyper-Parameters Tuning for Hyperspectral Image Classificati...

引用

6th IEEE international conference on signal processing, Computing and Control, ISPCC 2021

作者： Chava, Sai Swagath Gunnapaneni, Satya Lakshmi Tejaswini Chakravarty, Sujata Centurion University Of Technology Management Department Of Computer Science And Engineering Andhra Pradesh India

ISBN: (纸本)9781665425520

Hyperspectral imaging is being applied in the field of Cosmology, farming, bioinformatics, medical devices, geology, physics, monitoring are some of the fields covered. However, the hyperspectral data are multi-dimensional and noisy. Hence, it is challenging to classify data for meaningful use. Different machine learning algorithms are being used for classification. In this paper, three datasets namely such as Botswana, Pavia University Scene, Kennedy Space Center having spectral band of 145, 103 and 176 respectively have been taken. Random forest and Support vector machines (SVM) algorithm have been used. The grid search method is used for tuning and finding out the best parameters for the respective model. The results obtained before and after tuning the hyperparameters have been compared. It has been discovered that the latter delivers superior results. © 2021 IEEE.

关键词： Support vector machines

来源：评论

学校读者我要写书评

暂无评论

Fast Thermal Infrared image Ground Object Detection Method based on Deep Learning Algorithm 6

Fast Thermal Infrared Image Ground Object Detection Method b...

引用

6th international conference on Communication, image and signal processings, CCISP 2021

作者： Zhou, Guopeng Wu, Falin He, Jiaqi Li, Haolun Zhang, Chunxiao Yang, Gongliu Beihang University Beijing China Beijing Institute of Space Mechanics & Electricity Beijing China

ISBN: (纸本)9781665432795

Nowadays, there is an increasing demand for wild searching and nature reserve monitoring in nighttime environment. Combined with the advantages of thermal infrared (TIR) imaging technology and the flexibility of unmanned aerial vehicle (UAV), the UAV thermal infrared remote sensing can provide sufficient image data as the information source of decision-making and judgment for multi scene object detection task at night. In order to process these image data quickly and accurately, and to realize the purpose of ground object detection, this paper investigates a fast thermal infrared image ground object detection method based on deep learning algorithm. The proposed method achieves good accuracy and speed performance on the dataset, which shows 64.35% mAP with 41.83 FPS. This method is superior to the other general detection algorithms in detection accuracy and detection speed. © 2021 IEEE

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

Large-Scale Crowdsourcing Subjective Quality Evaluation of Learning-Based image Coding

Large-Scale Crowdsourcing Subjective Quality Evaluation of L...

引用

IEEE international conference on Visual Communications and image processing (VCIP) - Visual Communications in the Era of AI and Limited Resources

作者： Upenik, Evgeniy Testolina, Michela Ascenso, Joao Pereira, Fernando Ebrahimi, Touradj Ecole Polytech Fed Lausanne Multimedia Signal Proc Grp Lausanne Switzerland Inst Super Tecn Inst TelecomunicacOes Lisbon Portugal

ISBN: (纸本)9781728185514

Learning-based image codecs produce different compression artifacts, when compared to the blocking and blurring degradation introduced by conventional image codecs, such as JPEG, JPEG 2000 and HEIC. In this paper, a crowdsourcing based subjective quality evaluation procedure was used to benchmark a representative set of end-to-end deep learning-based image codecs submitted to the MMSP'2020 Grand Challenge on Learning-Based image Coding and the JPEG AI Call for Evidence. For the first time, a double stimulus methodology with a continuous quality scale was applied to evaluate this type of image codecs. The subjective experiment is one of the largest ever reported including more than 240 pair-comparisons evaluated by 118 naive subjects. The results of the benchmarking of learning-based image coding solutions against conventional codecs are organized in a dataset of differential mean opinion scores along with the stimuli and made publicly available.

关键词： deep learning image coding learning-based compression subjective evaluation visual quality crowdsourcing

来源：评论

学校读者我要写书评

暂无评论

Proceedings - 2021 5th international conference on Imaging, signal processing and Communications, ICISPC 2021

Proceedings - 2021 5th International Conference on Imaging, ...

引用

5th international conference on Imaging, signal processing and Communications, ICISPC 2021

ISBN: (纸本)9781665424257

The proceedings contain 17 papers. The topics discussed include: detecting falling rocks by estimating excavation points using laser pointer;a real-time target tracking algorithm based on improved kernel correlation filter;constant false alarm OMP algorithm based on sparse ISAR imaging of stationary aircraft target;detection of anal sac disease, Atresia Ani and rectal prolapse for Canis lupus familiaris using image processing and convolutional neural network;investigation of gas/oil/water distribution based on electrical capacitance and microwave tomography;lung nodule classification of CT images based on the deep learning algorithms;the research on the impact of visual image perception in a user interface on typeface design;and joint robust transmit and receive beamforming based on probability constraint.

关键词：

来源：评论

学校读者我要写书评

暂无评论

YOLODrone: Improved YOLO Architecture for Object Detection in Drone images 44

YOLODrone: Improved YOLO Architecture for Object Detection i...

引用

44th international conference on Telecommunications and signal processing (TSP)

作者： Sahin, Oyku Ozer, Sedat Bilkent Univ Ozer Lab Dept Comp Sci Ankara Turkey

ISBN: (纸本)9781665429337

Recent advances in robotics and computer vision fields yield emerging new applications for camera equipped drones. One such application is aerial-based object detection. However, despite the recent advances in the relevant literature, object detection remains as a challenging task in computer vision. Existing object detection algorithms demonstrate even lower performance on drone (or aerial) images since the object detection problem is a more challenging problem in aerial images, when compared to the detection task in ground-taken images. There are many reasons for that including: (i) the lack of large drone datasets with large object variance, (ii) the larger variance in both scale and orientation in drone images, and (iii) the difference in shape and texture features between the ground and the aerial images. In this paper, we introduce an improved YOLO algorithm: YOLODrone for detecting objects in drone images. We evaluate our algorithm on VisDrone2019 dataset and report improved results when compared to YOLOv3 algorithm.

关键词： Object Detection UAV image analysis YOLO

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70页 << < 13 14 15 16 17 18 19 20 21 22 > >>

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：