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81-90 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：

Deep random forest-based learning transfer to SVM for brain tumor segmentation

Deep random forest-based learning transfer to SVM for brain ...

引用

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

作者： Samya Amiri Islem Rekik Mohamed Ali Mahjoub SAGE laboratory Higher Institute of Computer Science and Communication Techniques of Hammam sousse Tunisia

ISBN: (纸本)9781467385275

Using neuroimaging techniques to diagnose brain tumors and detect both visible and invisible cancer cells infiltration boundaries motivated the emergence of diverse tumor segmentation algorithms. Noting the large variability in both tumor appearance and shape, the task of automatic segmentation becomes more difficult. In this paper, we propose a random-forest (RF) based learning transfer to SVM classifier method for segmenting tumor lesions while capturing their complex characteristics. Our framework is composed of two cascaded stages. In the first stage, we train a random forest to learn the mapping from the image space to the tumor label space. In the testing stage, we use the predicted label output from the random forest and feed it along with the testing intensity image to an SVM classifier to get the refined segmentation. Then we make our RF-SVM cascaded classification steps deep through an iterative process. We tested our method on 20 patients with high-grade gliomas from the Brain Tumor image Segmentation Challenge (BRATS) dataset. Our proposed framework significantly outperformed SVM-based segmentation and RF-based segmentation-when used solely.

关键词： Support vector machines image segmentation Radio frequency Vegetation Lesions Magnetic resonance imaging

来源：评论

学校读者我要写书评

暂无评论

Real-time recognition of road traffic signs in video scenes

Real-time recognition of road traffic signs in video scenes

引用

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

作者： Wajdi Farhat Hassene Faiedh Chokri Souani Kamel Besbes Faculty of Sciences of Monastir University of Sousse Higher Institute of Applied Sciences & Technology University of Sousse Universite de Sousse Sousse TN Center for Research on Microelectronics and Nanotechnology CRMN of Sousse University of Sousse Faculty of Sciences of Monastir University of Monastir

ISBN: (纸本)9781467385275

This paper presents a new algorithm for the detection and classification of real-time road traffic signs in the video. Our system is able to detect and classify triangular, circular, and octagonal signs of red and blue colors. The proposed system operates into two processing steps: (1) detection and (2) classification road signs. The system has detected candidate regions as Maximally Stable Extremal Regions (MSERs) in HSV color space with available robustness to variations in lighting conditions, especially red and blue. The detected candidate regions were then classified as method template matching, such as circular, octagonal, and triangular shapes. The proposed system is operating under a range of weather conditions and recognizes all classes of road traffic sign database. Results show a high success rate. In fact, the system maintains high performance for detection and classification steps whose F-measure are set to 0.95 and 0.92 respectively. We conclude, from these results, that the proposed system is invariant to rotation, translation, scale, even to partial occlusions. Moreover, results prove that the system is suitable and reliable for real-time processing.

关键词： Roads image color analysis Shape Real-time systems Robustness Classification algorithms Feature extraction

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

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

引用

Computer Graphics, image and Virtualization (ICCGIV), international conference on

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

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.

关键词： Deep learning Training image recognition Databases Neural networks Authentication Receivers

来源：评论

学校读者我要写书评

暂无评论

Segmentation of low-grade gliomas in MRI: Phase based method

Segmentation of low-grade gliomas in MRI: Phase based method

引用

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

作者： R. Zaouche A. Belaid S. Aloui B. Solaiman A. Bounceur D. Ben Salem S. Sid-Ahmed S. Tliba University of Abderrahmane Mira of Bejaia LIMED Laboratory Bejaia Algeria Image & Information Processing Department Institut TELECOM France University of Brest Lab-STICC Laboratory France LaTIM-INSERM UMR 1101 Neuroradiologie France Neurosurgery department France Neurosurgery department Biological Engineering of Cancers

ISBN: (纸本)9781467385275

Segmentation of gliomas in magnetic resonance imaging (MRI) images is a crucial task for early tumor diagnosis and surgical planning. Although many methods for brain tumor segmentation exist, the improvement of this process is still difficult. Indeed, MRI images show complex characteristics and the different tumor tissues are difficult to distinguish from the normal brain tissues; especially the low-grade glioma (LGG), distinguished by their infiltrating character. In fact, it is difficult to extract the tumor from the surrounding healthy parenchyma tissue without any risk of neurological functional sequelae. The purpose of this paper is to provide a new MRI brain low grade glioblastomas tumor segmentation method based on the local phase information. We applied the proposed method on a set of selected images (Flair, T1 and T1c). Those images were from patients with low-grade glioma. The preliminary results obtained seem to be interesting.

关键词： image segmentation Magnetic resonance imaging Tumors image edge detection Deformable models Cancer Clustering algorithms

来源：评论

学校读者我要写书评

暂无评论

Low-light image Enhancement Algorithm Based on Transformer

Low-light Image Enhancement Algorithm Based on Transformer

引用

signal processing and Intelligent Computing (SPIC), international conference on

作者： Zeyu Wang Yan Qi Institute of Information Science and Technology Shenyang Ligong University Shenyang China

ISBN: (数字)9798350368888

ISBN: (纸本)9798350368895

Low light image enhancement is an important task in computer vision. The Low-light images can adversely affect more advanced computer vision tasks such as target tracking, image segmentation, and target recognition due to the presence of large amounts of noise and low contrast. Therefore, research on low-light image enhancement is crucial. To address these issues, this paper delves into the comparison between traditional and non-traditional low-light image enhancement algorithms and has achieved the following results:We abandon the traditional approach based on a priori knowledge of images and instead redesign a new network structure for low-light image enhancement with the existing theoretical foundation for Transformer. The network performs information extraction in the channel dimension of the image through self-attention mechanism and then extracts the shallow feature information of the image through Shallow layer. After fusing these two types of information, more advanced information is extracted to guide the final image enhancement. Experimental results show that the redesigned network structure not only achieves better results but also has improved execution efficiency.

关键词： Knowledge engineering Computer vision Target tracking Target recognition Noise signal processing algorithms Feature extraction Transformers Data mining image enhancement

来源：评论

学校读者我要写书评

暂无评论

Progressive DCT image Compression Based On Quad Tree Decomposition for WSN

Progressive DCT Image Compression Based On Quad Tree Decompo...

引用

Advances in Engineering Science and Technology (AEST), international conference on

作者： Sakena Abbas Ayona Ali Kadhim Al-Janabi Department of Electronic and Communications Engineering University of Kufa Najaf Iraq

Wireless Sensor Networks (WSNs) have nodes with limited energy, limited processing power, and limited memory. In addition, they have low bandwidth and noisy communication channels. Therefore, image compression is very important for WSNs to reduce the time or the required bandwidth for transmitting the images. Progressive image compression is useful in WSNs because even when there is a cutoff in the transmitted data due to ending the battery lifetime or channel noise, the decoder can decompress the partially received data to obtain an acceptable image. Unfortunately, the progressive Discrete Cosine Transform (DCT) standard is unsuitable for WSNs because it uses the arithmetic coder or the Huffman coding that is very complex to implement. In this paper, we replace these coders with the Quad-Tree Decomposition (QTD) which has very low complexity. Unfortunately, most of the algorithms that use the QTD require lists to record the state of the image pixels and the quad-trees. These lists require an additional memory of about (2-3) of the image size. Therefore, it is not suitable for WSNs. In this research, we present the No List-QTD (NL-QTD) image compression algorithm that solves this memory constraint. It employs marker bits of an average memory of about 1/10 the image size instead of the lists to mark these states. The low complexity of the proposed NL-QTD also preserves the energy of the sensor's battery which in turn increases its lifetime. The simulation results show that the proposed method also has a higher Peak signal-to-Noise Ratio (PSNR), and a higher Structural Similarity Index Measurement (SSIM), as compared with other related algorithms.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Condition Monitoring of Wind Turbines Through image Similarity Evaluation

Condition Monitoring of Wind Turbines Through Image Similari...

引用

Digital Twins and Parallel Intelligence (DTPI), IEEE international conference on

作者： Tianyu Wang Ye Su Jiangfeng Zhang Junyu Cai Liyun Hua State Grid Zhejiang Electric Power Research Institute North China Electric Power University Hangzhou China State Grid Zhejiang Electric Power Research Institute Hangzhou China Hangzhou E. Energy Technology Co. Ltd. Hangzhou China

ISBN: (数字)9781665492270

ISBN: (纸本)9781665492287

The condition monitoring of wind turbines is essential in a wide range of industrial fields for operational safety and efficiency. A smart visual system is proposed in this paper to achieve blade speed and tower vibration measurements through image similarity evaluation and advanced signal processing techniques. First, the similarity levels of a wind turbine image sequence are determined through the zero-normalized crosscorrelation algorithm. Then, an improved short-time autocorrelation method is utilized to process the resulting image similarity signal to derive the blade speed. Meanwhile, vibration information of the wind turbine tower is obtained through the spectral analysis of the image similarity signal of the tower region. The experimental data collected on a direct drive permanent magnet wind turbine illustrate that the blade speed and the tower vibration frequency can be measured accurately, confirming the feasibility of this technique for condition monitoring of wind turbines.

关键词： Vibrations Condition monitoring Visualization image resolution Blades Poles and towers Vibration measurement

来源：评论

学校读者我要写书评

暂无评论

A Comprehensive Survey of image Steganography

A Comprehensive Survey of Image Steganography

引用

Sustainable Computing and Smart Systems (ICSCSS), international conference on

作者： Kalaiarasi G Sudharani B Sharon Christiana Jonnalagadda Harsha Vardhan Battula Bhavana Sanagala Dept of ACSE Vignan's Foundation for Science Technology and Research Andhra Pradesh

ISBN: (数字)9798350379990

ISBN: (纸本)9798350391558

This research study analyzes the multidimensional landscape of steganography, examining its historical roots, theoretical background, contemporary approaches, and various applications. Beginning with a historical overview, this study investigates the evolution of steganography from its ancient roots to its present iterations in the digital world. Next, the study progresses towards analyzing the fundamental principles and theoretical frameworks that underpin steganographic systems, such as cryptography and digital signal processing. Finally, this study presents a thorough evaluation of contemporary steganographic technologies, which range from simple LSB (Least Significant Bit) substitution techniques to advanced adaptive algorithms and machine learning methods by including deep-learning based steganography and coverless steganography. Notably, this study identifies key challenges, including detection resistance, payload capacity, and robustness against attacks. Overall, this study presents a thorough understanding of steganography, emphasizing its significance as a versatile tool for communication in the digital era, while also highlighting the challenges that pave way for future innovations.

关键词： Resistance Training Surveys Steganography Adaptation models Technological innovation Distortion

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：