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

87 篇 会议
1 册 图书

馆藏范围

88 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

57 篇 工学
- 43 篇 计算机科学与技术...
- 30 篇 软件工程
- 20 篇 光学工程
- 20 篇 信息与通信工程
- 17 篇 电气工程
- 12 篇 生物工程
- 11 篇 电子科学与技术（可...
- 10 篇 生物医学工程（可授...
- 7 篇 仪器科学与技术
- 4 篇 材料科学与工程（可...
- 4 篇 化学工程与技术
- 4 篇 安全科学与工程
- 2 篇 控制科学与工程
- 1 篇 动力工程及工程热...
- 1 篇 建筑学
- 1 篇 水利工程
40 篇 理学
- 22 篇 数学
- 15 篇 物理学
- 14 篇 生物学
- 5 篇 化学
- 5 篇 统计学（可授理学、...
- 2 篇 系统科学
- 1 篇 大气科学
7 篇 医学
- 7 篇 临床医学
- 4 篇 基础医学(可授医学...
- 3 篇 药学(可授医学、理...
- 2 篇 公共卫生与预防医...
5 篇 管理学
- 4 篇 图书情报与档案管...
- 2 篇 管理科学与工程(可...
2 篇 教育学
- 2 篇 教育学
1 篇 农学

主题

9 篇 image segmentati...
6 篇 signal processin...
5 篇 image enhancemen...
4 篇 deep learning
4 篇 neural networks
4 篇 encryption
4 篇 image recognitio...
3 篇 image fusion
3 篇 image edge detec...
3 篇 image processing
3 篇 feature extracti...
2 篇 knowledge engine...
2 篇 roads
2 篇 deep neural netw...
2 篇 magnetic resonan...
2 篇 safety
2 篇 software algorit...
2 篇 signal processin...
2 篇 ciphers
2 篇 image

机构

2 篇 highway developm...
2 篇 university of so...
2 篇 nmam institute o...
2 篇 state grid zheji...
2 篇 shri madhwa vadi...
2 篇 hangzhou e. ener...
2 篇 guangxi vocation...
1 篇 faculty of scien...
1 篇 university of no...
1 篇 department of el...
1 篇 humboldt univ de...
1 篇 inner mongolia u...
1 篇 school of biomed...
1 篇 network and data...
1 篇 dept of acse vig...
1 篇 northwest minzu ...
1 篇 sichuan universi...
1 篇 university of ku...
1 篇 ensit cerep tuni...
1 篇 college of compu...

作者

2 篇 ananth alaka
2 篇 bhat sachin s.
1 篇 wang yiming
1 篇 kyeong-seop kim
1 篇 najoua essoukri ...
1 篇 arun prasath t.
1 篇 feng liuping
1 篇 qianxu dong
1 篇 kim kee-deog
1 篇 liu lidong
1 篇 sudharani b.
1 篇 wajdi farhat
1 篇 liyun hua
1 篇 junyu cai
1 篇 i. r. farah
1 篇 huang rui
1 篇 chaouch asma
1 篇 eldeeb tarek
1 篇 li liang
1 篇 pareek piyush ku...

语言

88 篇 英文

检索条件"任意字段=2nd International Conference on Advanced Algorithms and Signal Image Processing, AASIP 2022"

共 88 条记录，以下是21-30 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：

The Bilateral Denoising Performance Influence of Window, Spatial and Radiometric Variance 2

The Bilateral Denoising Performance Influence of Window, Spa...

引用

2nd international conference on advanced Informatics: Concepts, Theory and Applications (ICAICTA)

作者： Patanavijit, Vorapoj Assumption Univ Vincent Mary Sch Engn Dept Elect & Elect Engn Samuthprakarn Thailand

ISBN: (纸本)9781467381437

In the research operation of Digital signal processing (DSP) and Digital image processing (DIP), one of the most essential obstacles is the image denoise algorithm by the reason of a very large demand of high quality noise-free images therefore there are many image denoise algorithms have been invented in the time of two decades. Bilateral filter is one of the most impressive and feasible algorithms, which is usually applied for denoise propose, but the performance of the Bilateral filter is substantially bank on three parameters: spatial variance, radiometric variance and window size. Consequently, this paper investigates the performance influence impact of spatial variance, radiometric variance, window size for the Bilateral Filter in the denoise propose. In the denoise experiment, Bilateral filter (BF) is applied on three noisy standard images under five Gaussian noise power levels and the best results in the PSNR prospective point of view from deniose algorithm is picked. Moreover, an optimal value of three parameters: spatial variance, radiometric variance, window size, which make the performance of Bilateral filter the highest PSNR, are extensively investigated for each types of tested images and each noise powers.

关键词： Bilateral Filter Denoise Algorithm Digital image processing (DIP)

来源：评论

学校读者我要写书评

暂无评论

Denoising of images using Fractional Fourier Transform 2

Denoising of Images using Fractional Fourier Transform

引用

2nd international conference on Emerging Frontiers in Electrical and Electronic Technologies, ICEFEET 2022

作者： Kumari, Rani Mustafi, Abhijit Birla Institute of Technology Department of Computer Science Mesra Ranchi India

ISBN: (数字)9781665488754

ISBN: (纸本)9781665488754

In this paper, we are using fractional Fourier transform (FrFT) for the application of image processing. Our objective is to use the FrFT in such a way that it can provide the solution to image denoising issues on a larger scale. The assertion behind using FrFT is that it has been broadly used and validated in the context of signal processing as a time-frequency analytical tool. Many used cases are available in the context of signal processing, such as detection, filtering, and feature extraction of the signal. Considering these studies, we use the FrFT to enhance and denoise the images using a parallel set of filters. Through simulation, we have observed that our method has outstanding and comparable outcomes in terms of accuracy concerning the existing denoising algorithms. © 2022 IEEE.

关键词： image denoising

来源：评论

学校读者我要写书评

暂无评论

Scale Space Mining Algorithm and Application Analysis Based on Computer image processing 2

Scale Space Mining Algorithm and Application Analysis Based ...

引用

2nd IEEE international conference on advanced Technologies in Intelligent Control, Environment, Computing and Communication Engineering, ICATIECE 2022

作者： Fu, Rong City Institute Dalian University of Technology Dalian China

ISBN: (纸本)9781665493963

In the process of computer IP(CIP), computer vision is used as the basis of image processing(IP). images contain a lot of information, which is the basis for people to analyze image data. However, because images contain noise that affects the analysis results, intelligent extraction of image information has become the key to computer vision analysis of image data. According to the SS theory, this paper proposes three CIP algorithms, such as the EM image segmentation algorithm based on one-dimensional and multi-dimensional feature scale space(SS) and the IP algorithm based on adaptive multi-scale wavelet transform(WT). Compared with the other two algorithms, the three algorithms obtained the MSE value, PSNR value and SSIM value of the Q1 image. With the increase of the denoising level, the WT IP algorithm has the best denoising effect on the image, and with the increase of the denoising level. With the increase of sampling rate, the algorithm also has the best effect on image reconstruction. © 2022 IEEE.

关键词： Wavelet transforms

来源：评论

学校读者我要写书评

暂无评论

A new hybrid encryption technique permuting text and image based on hyperchaotic system 2

A new hybrid encryption technique permuting text and image b...

引用

2nd international conference on advanced Technologies for signal and image processing (ATSIP)

作者： Hasscne, Scddik Eddine, Maalaoui Najm ENSIT CEREP Tunis Tunisia

ISBN: (纸本)9781467385268

This paper proposes a new hybrid technique for combined encryption text and image based on hyperchaos system. Since antiquity, man has continued looking for ways to send messages to his correspondents in order to communicate with them safely. It needed, through successive epochs, both physical and intellectual efforts in order to find an effective and appropriate communication technique. On another note, there is a behavior between the rigid regularity and randomness. This behavior is called chaos. In fact, it is a new field of investigation that is opened along with a new understanding of the frequently misunderstood long effects. The chaotic cryptography is thus born by inclusion of chaos in encryption algorithms. This article is in this particular context. Its objective is to create and implement an encryption algorithm based on a hyperchaotic system. This algorithm is composed of four methods: two for encrypting images and two for encrypting texts. The user chose the type of the input of the encryption (image or text) and as well as of the output. This new algorithm is considered a renovation in the science of cryptology, with the hybrid methods. This research opened a new features.

关键词： Encryption HyprChaos hybrid image Text

来源：评论

学校读者我要写书评

暂无评论

Improvement of Satellite image Classification : Approach Based on Hadoop/Map Reduce 2

Improvement of Satellite Image Classification : Approach Bas...

引用

2nd international conference on advanced Technologies for signal and image processing (ATSIP)

作者： Chebbi, I. Boulila, W. Farah, I. R. Manouba Univ Natl Sch Comp Sci Riadi Lab Manouba Tunisia

ISBN: (纸本)9781467385268

the revolution of technologies (social networks, smartphones, GPS and Remote Sensing image) increase the volume of informations wich makes humanity in new need " Storage of huge volume of data ". the traditional strategy to store data become problem for humanity and then this need build new art to resolve this problems the " Spatial Big Data (SBD)" SBD store proncipally three types of data: vector data, raster data and network data. The complexity and nature of spatial databases make them ideal for applying parallel processing. This also emphasizes the need for developing new efficient geospatial analytic for analyzing spatial big data. So, we review the most used spatial data algorithms attracting human interests especially when the amount of satellite images continues to grow as more information becomes available. In this context, we propose a system based on Hadoop an open source system that implements the MapReduce programming model and that can improve the classification of large scale remote sensing image and benefit the power of spatial big data concept

关键词： Spatial Big Data Hadoop MapReduce Classification Remote Sensing image

来源：评论

学校读者我要写书评

暂无评论

A review of image authentication techniques based on deep hashing 2

A review of image authentication techniques based on deep ha...

引用

2nd international conference on Computer Graphics, image and Virtualization, ICCGIV 2022

作者： Lu, Tingting Feng, Liuping Dong, Qianxu Beijing Institute of Graphic Communication Beijing Key Laboratory of Signal and Information Processing for High-end Printing Equipments Beijing China

ISBN: (纸本)9781665492508

image hashing is a key technology for many multimedia security applications. The image content is recognized through a short perceptual digest. In this paper, the latest literatures of image authentication based on hash were researched and analyzed in detail. We introduced a general model for image authentication based on image hashing. In particular, deep hashing algorithms for image authentication based on typical deep neural networks such as convolutional neural networks, convolutional autoencoders, and generative adversarial networks have been discussed. The paper also compares the various existing image hashing algorithms' performances, such as the receiver operating characteristics (ROC) and the area under the ROC curve. Finally, this paper looks forward to the future development trend of image hash authentication technology. © 2022 IEEE.

关键词： Deep neural networks

来源：评论

学校读者我要写书评

暂无评论

Improved 2D target detection with YoloV5 based on attention mechanism 2

Improved 2D target detection with YoloV5 based on attention ...

引用

2nd international conference on signal image processing and Communication, ICSIPC 2022

作者： Zhou, Yong Zhang, Mei Hou, Fujin Lv, Bin Wu, Jianqing Shandong High-speed Construction Management Group Co. Ltd. Jinan250014 China School of Transport Lanzhou Jiaotong University Lanzhou730070 China Shandong Hi-Speed Construction Management Group Co. Ltd. Jinan250014 China School of Qilu Transportation Shandong University Jinan250061 China Suzhou Research Institute Shandong University Suzhou215123 China

ISBN: (纸本)9781510657694

For 2D image data target detection, this paper proposes an improved detection algorithm for YoloV5s based on the attention mechanism. By replacing the Focus module in YoloV5s with a CBL module, it facilitates model export. The four attention modules, SELayer, EcaLayer, CBAM and CoordAtt are added to the convolutional network of YoLoV5s. Before the P4 layer, before the P5 layer, before the SPPF layer and before the last layer of the original backbone network, respectively. By experimenting with algorithms that include YoloV5s, It was concluded that among the five algorithms tested for evaluation. The proposed YoloV5s-CoordAtt has the best performance level in terms of accuracy, with a 4.48% improvement compared to the original algorithm. © 2022 SPIE.

关键词： image enhancement

来源：评论

学校读者我要写书评

暂无评论

Research on adaptive image enhancement algorithm in laser stripe extraction 2

Research on adaptive image enhancement algorithm in laser st...

引用

2nd international conference on signal image processing and Communication, ICSIPC 2022

作者： Yan, Wenwei Chen, Shuai Mu, Baoyan Gao, Liang Shenyang Institute of Automation Chinese Academy of Sciences Liaoning Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Liaoning Shenyang110169 China University of Chinese Academy of Sciences Beijing100049 China Key Laboratory on Intelligent Detection and Equipment Technology of Liaoning Province Liaoning Shenyang110179 China

ISBN: (纸本)9781510657694

In line structured light vision measurement, an adaptive image enhancement algorithm is proposed to address the problem that the conventional image enhancement algorithm is ineffective in enhancing the laser stripe features in the unevenly illuminated images acquired by the system. The algorithm separates the channels in HSV color space, processes the separated S and V channels separately using an iterative adaptive histogram equalization algorithm to enhance the image saturation and brightness, and merges the equalized S1 and V1 channels with the original H channel to convert the image to RGB color space to complete the image enhancement. The experimental result shows that the information entropy index value S of the proposed algorithm is higher than those of other comparative algorithms, and the algorithm performs better in laser stripe image enhancement with better robustness. © 2022 SPIE.

关键词： image enhancement

来源：评论

学校读者我要写书评

暂无评论

Research on Traffic Picture Recognition Method Based on Multi-scale Feature Algorithm 2

Research on Traffic Picture Recognition Method Based on Mult...

引用

2nd international signal processing, Communications and Engineering Management conference, ISPCEM 2022

作者： Fu, Haijian Hui, Shao Highway Development Center of Donggang District Shandong Rizhao276800 China Shandong Water Polytechnic Architecture and Civil Engineering Department Shandong Rizhao276826 China

ISBN: (纸本)9781665492713

Since the rapid development of deep learning technology, traffic picture recognition technology has been significantly enhanced. In the process of recognizing complex traffic pictures, errors are likely to occur. Our objective is to improve the efficiency of the algorithm and the characteristics of the neural network, as well as to utilize the characteristics of stereo image analysis to conduct in-depth research on road conditions pictures based on multi-scale feature algorithms. The aim of this paper is to investigate in detail the process of image recognition and reconstruction using the multi-scale feature algorithm. Furthermore, we derive its loss function, which significantly improves its running characteristics. © 2022 IEEE.

关键词： image recognition

来源：评论

学校读者我要写书评

暂无评论

Fast 3D Object Segmentation Using DBSCAN Clustering Based on Supervoxel 2

Fast 3D Object Segmentation Using DBSCAN Clustering Based on...

引用

2nd international conference on signal image processing and Communication, ICSIPC 2022

作者： Yao, Tuo Yang, Qinghua Zhang, Rui School of Mechanical Engineering and Automation Shanghai University Shanghai200444 China

ISBN: (纸本)9781510657694

For visual perception of indoor mobile robots, real-time segmentation of 3D objects is a very challenging problem. Due to the complexity and disorder of indoor point cloud data, many methods have been proposed to improve the segmentation accuracy, which most of them cannot meet the requirement of rapidity. Therefore, this paper proposes a method for fast segmentation of 3D point clouds based on supervoxel density clustering. First, the ground under the indoor scene is removed by using plane fitting algorithm and the point cloud data after ground removal is denoised at the same time. Then, the target object is over-segmented to obtain the supervoxels with local geometric features. The core points of the nearest neighbors at the center of the supervoxels are searched out using the kdtree indexing acceleration. Finally, the density clustering of the supervoxels is performed based on the core point density up to. Experimental results on publicly available datasets show that our proposed method can effectively improve the speed of the algorithm while ensuring accuracy. © 2022 SPIE.

关键词： Clouds image segmentation Detection and tracking algorithms 3D acquisition 3D vision Data modeling Data processing Machine learning Visualization Voltage controlled current source

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9页 << < 1 2 3 4 5 6 7 8 9 > >>

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：