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

3,012 篇 会议
88 篇 期刊文献
25 册 图书
5 篇 学位论文

馆藏范围

3,130 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

2,040 篇 工学
- 1,221 篇 计算机科学与技术...
- 1,068 篇 电气工程
- 552 篇 软件工程
- 537 篇 信息与通信工程
- 214 篇 电子科学与技术（可...
- 158 篇 光学工程
- 155 篇 生物医学工程（可授...
- 108 篇 仪器科学与技术
- 89 篇 测绘科学与技术
- 74 篇 控制科学与工程
- 60 篇 材料科学与工程（可...
- 58 篇 机械工程
- 37 篇 生物工程
- 23 篇 化学工程与技术
- 23 篇 轻工技术与工程
- 22 篇 航空宇航科学与技...
- 14 篇 动力工程及工程热...
- 13 篇 建筑学
1,406 篇 理学
- 874 篇 物理学
- 697 篇 数学
- 70 篇 统计学（可授理学、...
- 59 篇 系统科学
- 43 篇 生物学
- 27 篇 化学
509 篇 医学
- 493 篇 临床医学
- 83 篇 特种医学
- 40 篇 基础医学(可授医学...
- 33 篇 药学(可授医学、理...
69 篇 管理学
- 46 篇 管理科学与工程(可...
- 28 篇 图书情报与档案管...
16 篇 法学
10 篇 军事学
4 篇 农学
3 篇 艺术学
2 篇 经济学
2 篇 教育学
2 篇 文学
1 篇 哲学

主题

464 篇 wavelet transfor...
381 篇 image coding
344 篇 discrete wavelet...
274 篇 image processing
223 篇 signal processin...
193 篇 wavelets
171 篇 image compressio...
137 篇 wavelet transfor...
136 篇 image reconstruc...
119 篇 feature extracti...
115 篇 image segmentati...
110 篇 wavelet analysis
99 篇 signal processin...
86 篇 image resolution
85 篇 image analysis
76 篇 watermarking
74 篇 image enhancemen...
74 篇 transform coding
72 篇 discrete wavelet...
71 篇 wavelet

机构

9 篇 rice univ dept e...
6 篇 univ cambridge d...
5 篇 maharishi school...
5 篇 tel aviv univ sc...
5 篇 rice univ dept e...
5 篇 swiss fed inst t...
4 篇 rice univ dept m...
4 篇 univ of erlangen...
4 篇 natl. inst.s of ...
4 篇 duke univ dept e...
4 篇 polytech univ br...
4 篇 swiss fed inst t...
4 篇 the ohio state u...
4 篇 department of el...
4 篇 georgia inst tec...
4 篇 department of el...
4 篇 univ waterloo de...
4 篇 univ illinois be...
4 篇 univ. of florida...
3 篇 univ arizona col...

作者

20 篇 unser m
11 篇 baraniuk r
10 篇 alparone l
9 篇 blu t
9 篇 vetterli m
9 篇 choi h
8 篇 kingsbury n
8 篇 ramchandran k
8 篇 monro dm
7 篇 gholamreza anbar...
7 篇 ortega antonio
7 篇 ortega a
7 篇 ebrahimi t
7 篇 astola j
7 篇 hasan demirel
6 篇 averbuch az
6 篇 baronti s
6 篇 truchetet f
6 篇 do mn
6 篇 liu j

语言

3,027 篇 英文
70 篇 土耳其文
18 篇 其他
15 篇 中文

检索条件"任意字段=Conference on Wavelet Applications in Signal and Image Processing II"

共 3130 条记录，以下是341-350 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：

Watermarking medical images with IDWT-FWHT 26

Watermarking medical images with IDWT-FWHT

引用

26th IEEE signal processing and Communications applications conference, SIU 2018

作者： Üstübioǧlü, Arda Ulutaş, Guzin Üstübioǧlü, Beste Bilgisayar Mühendisliǧi Karadeniz Teknik Üniversitesi Trabzon Turkey

ISBN: (纸本)9781538615010

During transmission of medical images over the network security problems arise due to confidentiality, verification and integrity. Medical image watermarking(MIW) is a technology developed to solve these security problems. In this paper, a new medical image watermarking algorithm based on Integer Discrete wavelet Transform (IDWT) and Fast Walsh-Hadamard Transform (FWHT) is proposed. Tamper localization and image authentication is performed with the Block Authentication Vector (BAV) and logo information which are embedded into the medical image. In the proposed method, the attacks to be performed in the ROI can be detected in a small region such as 4×4. Higher NC values, average 48.5db PSNR and lower computational time obtained in the experimental results indicate the effectiveness of the proposed method. © 2018 IEEE.

关键词： Discrete wavelet transforms

来源：评论

学校读者我要写书评

暂无评论

A Blind Watermarking Technique using Redundant wavelet Transform for Copyright Protection 14

A Blind Watermarking Technique using Redundant Wavelet Trans...

引用

IEEE 14th International Colloquium on signal processing and its applications (CSPA)

作者： Ernawan, Ferda Kabir, Muhammad Nomani Univ Malaysia Pahang Fac Comp Syst & Software Engn Kuantan Malaysia

ISBN: (纸本)9781538603895

A digital watermarking technique is an alternative method to protect the intellectual property of digital images. This paper presents a hybrid blind watermarking technique formulated by combining RDWT with SVD considering a trade-off between imperceptibility and robustness. Watermark embedding locations are determined using a modified entropy of the host image. Watermark embedding is employed by examining the orthogonal matrix U obtained from the hybrid scheme RDWT-SVD. In the proposed scheme, the watermark image in binary format is scrambled by Arnold chaotic map to provide extra security. Our scheme is tested under different types of signal processing and geometrical attacks. The test results demonstrate that the proposed scheme provides higher robustness and less distortion than other existing schemes in withstanding JPEG2000 compression, cropping, scaling and other noises.

关键词： blind watermarking technique modified entropy watermark insertion watermark extraction redundant wavelet transform

来源：评论

学校读者我要写书评

暂无评论

Deep Learning Utilization in Beamforming Enhancement for Medical Ultrasound

Deep Learning Utilization in Beamforming Enhancement for Med...

引用

IEEE Annual International Computer Software and applications conference (COMPSAC)

作者： Mariam Fouad Yousef Metwally Georg Schmitz Michael Huebner Mohamed A. Abd El Ghany Ruhr University Bochym (RUB) Germany and German University in Cairo (GUC) Egypt German University in Cairo (GUC) Egypt Ruhr University Bochum (RUB) Germany BTU Cottbus - Senftenberg Germany German University in Cairo (GUC) Egypt and TU Darmstadt (TUD) Germany

ISBN: (数字)9781728173030

ISBN: (纸本)9781728173047

Ultrasound imaging offers a low cost, noninvasive and portable system, which allowed it to be an invaluable tool for medical imaging. However, the quality of the reconstructed images depends significantly on the beamforming technique utilized. Although advanced data-adaptive methods of reconstruction such as Minimum Variance (MV) beamforming can recover image quality much higher than conventional techniques, their implementation also entails a heavy computational burden. This dichotomy hinders the ultrasound imaging use as a standalone device in some applications such as early breast cancer detection. Deep neural networks (DNNs) have shown a huge potential when applied to many Artificial intelligence (AI) research fields. In this work, the use of Deep learning in improving the quality of the beamforming technique Delay and Sum (DAS) normally used for ultrasound (US) images reconstruction is explored. Three different architectures are implemented: Convolutional AutoEncoder (CAE), Fully Connected network (FC) and U-Net-like architecture. They were trained on datasets simulated using field ii. The dataset consists of input-output pairs where the input is Noisy DAS beamformed scan lines and the output is MV beamformed non-noisy scan lines. The networks show a great ability in predicting the beamformed signals along with significantly reducing noise in the reconstructed images. Additionally, the proposed networks improve other image characteristics such as scatterer size and position along with reducing tail characteristic normally found in DAS beamformed ultrasound images. US images constructed by the networks achieved better quality metrics that surpass conventional DAS beamformed images. The CAE, U-net-like architecture, and FC enhanced the signal to noise ratio (SNR) compared to DAS by 218%, 165% and 136% respectively. Additionally, the networks showed higher Contrast to Noise Ratio (CNR) and Contrast Ratio (CR) metrics than DAS beamformed signals. Finally, the propo

关键词： Array signal processing Ultrasonic imaging image reconstruction Delays Imaging Computer architecture Covariance matrices

来源：评论

学校读者我要写书评

暂无评论

Quaternion wavelet transform for image denoising 3

Quaternion wavelet transform for image denoising

引用

International conference on Mathematics - Pure, Applied and Computation (ICoMPAC)

作者： Umam, Ahmad Khairul Yunus, Mahmud Inst Teknol Sepuluh Nopember Math Dept Sukolilo 60111 Surabaya Indonesia

Quaternion wavelet transform (QWT) combines discrete wavelet transform (DWT) and quaternion Fourier transform (QFT). QWT has many applications included image processing. In this research, we discuss about construction, characteristics and implementation of QWT on process of image denoising. We construct denoising algorithm with QWT then we do simulation to know performance of algorithm. We use grayscale test images that have size 512 x 512 pixel with low, medium and high complexity. Experiment removes noise of image successfully. Results of image denoising are used to measure algorithm performance using PSNR (peak signal to noise ratio) value. We compare PSNR values with DWT and QWT for Haar, Biorthogonal, Daubechies and Coiflets wavelet. The method that has the highest PSNR value can be concluded the best performance.

关键词： image denoising

来源：评论

学校读者我要写书评

暂无评论

A Multi-scale image Registration Algorithm Based on wavelet Transform 5th

A Multi-scale Image Registration Algorithm Based on Wavelet ...

引用

5th International conference on Communications, signal processing, and Systems (CSPS)

作者： Sun, Qingfeng Zhang, Jixiang Tianjin Univ Technol & Educ Sch Automat & Elect Engn Tianjin 300222 Peoples R China Anhui Tech Coll Mech & Elect Engn Dept Elect Engn Wuhu 241000 Anhui Peoples R China

ISBN: (纸本)9789811032295;9789811032288

image registration has been an attractive research area of image processing;it has wider applications in many fields such as pattern recognition, image fusion, computer vision, and other practical problems. Due to the multi-resolution features, wavelet becomes the focus of research new algorithm and improves the traditional matching algorithm. Based on the study of traditional Harris corner detection algorithm, combined with wavelet transform, proposed an image registration algorithm based on the wavelet edge detection and Harris corner detection.

关键词： image registration wavelet transform Corner detection

来源：评论

学校读者我要写书评

暂无评论

Increasing Lesion Specificity with Fusion of Manually and Automatically Segmented Liver MR images 26

Increasing Lesion Specificity with Fusion of Manually and Au...

引用

26th IEEE signal processing and Communications applications conference (SIU)

作者： Ervural, Saim Ceylan, Murat KTO Karatay Univ Elekt Elekt Muhendisligi Bolumu Akabe Mh Alaaddin Kap Cd 130 Konya Turkey Selcuk Univ Alaeddin Keykubat Yerleskesi Elekt Elekt Muhendisligi Bolumu Konya Turkey

ISBN: (纸本)9781538615010

In this study, it is aimed to analyze the magnetic resonance (MR) images used in the diagnosis of liver focal lesions using image fusion methods and to help diagnosis by adding automatic segmentation results to the manual segmentation process preferred by experts. For this aim fusions of liver MR images, segmented by a fuzzy method and segmented manually. 120 T1-weighted dynamic contrast-enhanced liver MR images of pre-contrast phase, arterial phase, portal vein phase and late venous phase, taken from 30 different patients, were used. Each phase image is also fused with images segmented by the fuzzy c-means algorithm in the same phase, so that the lesion surfaces and contours are displayed on the segmented image manually. Thus, the significance of the lesion was increased before the information in the MR image in which the liver function information was displayed was lost. The resulting new image contains more useful information for automatic decision systems. The results obtained were evaluated using structural similarity index, peak signal-to-noise ratio and fusion factor quality metrics.

关键词： discrete wavelet transform fuzzy c-means segmentation image fusion

来源：评论

学校读者我要写书评

暂无评论

Speckle Noise Reduction of Optical Coherence Tomography images with a wavelet Transform 14

Speckle Noise Reduction of Optical Coherence Tomography Imag...

引用

IEEE 14th International Colloquium on signal processing and its applications (CSPA)

作者： Murakami, Tsuyoshi Ogawa, Koichi Hosei Univ Grad Sch Sci & Engn Koganei Tokyo 1848584 Japan

ISBN: (纸本)9781538603895

Optical coherence tomography (OCT) is a technique to investigate the microstructure of biological tissue non-invasively. OCT uses a low-coherence interferometry technique, and so the quality of OCT images is degraded by speckle noise which is inherent in coherent imaging. To remove the speckle noise, many methods have been proposed including hardware- and software-based methods. The latter approaches are flexible and easy to implement, and so many methods such as median filter, Wiener filter, and wavelet filter have been proposed. Of these, use of a wavelet filter is a powerful method to reduce the speckle noise, and this filter is often used in ultrasound images. The model of the speckle noise has a multiplicative nature, and conventional filtering methods are somewhat ineffective against this speckle noise. In 2003, we have developed a noise reduction method using a wavelet transform for radiographic images. In this paper, we applied the method to OCT images. The results of simulations showed that the speckle noise was reasonably reduced. And if we had only four frame images, the signal to noise ratio (S/N) was equivalent to that of averaged image using 32 frames. In addition, when we increased the number of processed images, we achieved the S/N of 24-25 dB.

关键词： optical coherence tomography wavelet transform denoising

来源：评论

学校读者我要写书评

暂无评论

Performances Improvement of Chaos-Based Robust Digital image Watermarking using Advanced Techniques

Performances Improvement of Chaos-Based Robust Digital Image...

引用

International conference on image and signal processing and their applications (ISPA)

作者： Redouane KAIBOU Mohamed Salah AZZAZ École Militaire Polytechnique Laboratoire Systèmes Électroniques et Numériques Alger Algérie

ISBN: (纸本)9781728131573

This paper presents a research study leading to a robust chaos-based scheme for digital image watermarking applications in the transform domain. The steps undergone include combining, in a repeating process, three performant conventional mathematical transforms of Direct Cosine Transform (DCT), Discrete wavelet Transform (DWT) and variants with three different state-of-the-art advanced techniques namely Discrete Curvelet Transform (DCuT), Discrete Radon Transform (DRaT) and Finite Ridgelet Transform (FRT). Results have shown a neat improvements in watermarking imperceptibility and robustness each time especially after including Singular Value Decomposition (SVD) which has enhanced embedding capability as well. Methods evaluation has followed an exhaustive series of performed tests that applied a range of evaluation metrics for imperceptibility. In addition, Robustness of the final scheme has also been confirmed by applying a variety of attacks on the resulting images. Finally, security aspect has also been improved after a comparative implementations of popular four chaotic models namely Arnold Cat Map (ACM), Lorenz Cat Map (LCM), Rossler Cat Map (RCM) and Genesio-Tesi Cat Map (GTCM) respectively producing secure images encryption levels. All Implementations have been validated using a sufficent number of color image from a large dataset.

关键词： image watermarking Transform domain Advanced techniques Chaotic encryption digital image watermarking advanced technologies chaotic encryption Transform Cats MAPPING(MATHEMATICAL) maps color image Singular value decomposition

来源：评论

学校读者我要写书评

暂无评论

Reduction of Speckle Noise in SAR images Using Hybrid Combination of Bootstrap Filtering and DWT

Reduction of Speckle Noise in SAR Images Using Hybrid Combin...

引用

International conference on Computer and applications (ICCA)

作者： Marhaba, Bassel Zribi, Mourad Univ Littoral Cote dOpale Maison Rech Blaise Pascal Lab Informat Signal & Image Cote dOpale LISIC EA Calis France

ISBN: (纸本)9781538643716

Synthetic Aperture Radar (SAR) satellite images are useful in many applications. However, the acquired SAR images are corrupted by noise and it must be denoised in order to retrieve the important details lost due to the noise effect. Denoising of the SAR satellites images represent a major and an important challenge for researchers in the field of image processing. Researchers have proposed many methods to decrease the image degradation due to the noise effect and retrieve a clear image. In general, many types of noise affect images. SAR satellite images are generally affected by speckle noise in the formation process. Our proposed method for speckle noise reduction in SAR images is based on the Bayesian Bootstrap filter and the Discrete wavelet transform. Our experimental results are promising in terms of PSNR and histogram.

关键词： SAR images Speckle noise Bayesian Bootstrap filter Discrete wavelet transform PSNR

来源：评论

学校读者我要写书评

暂无评论

Classification of human heart signals by novel feature extraction techniques for rescue application

Classification of human heart signals by novel feature extra...

引用

International conference on image Information processing

作者： Rajesh Saha Ratnesh Kumar Singh Rajeev Kumar Ghanapriya Singh Tushar Goel Pankaj Kumar Pal NIT Uttarakhand Srinagar Garhwal India

In the paper, the methodology of detecting the heart rate signal wirelessly with regards to use it as an applications as an emerging tool for health care in emergency and surveillance application is presented. A novel feature extraction technique is presented to detect human heart signal or electrocardiogram (ECG) signals wirelessly and classify the signal as normal or abnormal. By the analysis of the heart rate signal the presence of an alive human person below the debris can be detected. After detection of heart rate signals via sensors, the challenge lies in classifying the human heart rate signals as normal or abnormal. Heart signals or Electrocardiogram (ECG) is the primary signal used to diagnose and detection of heart disease abnormality. In this work, ECG signals are de-noised and then analyzed to extract feature from it by a novel technique which is combining Discrete wavelet Transform (DWT) and nonlinear, linear statistical feature. To verify the efficiency of extracted feature, here used various Machine Learning (ML) methods namely as Decision Trees (DT), Discriminant Analysis (DA), Logistic Regression (LR), Nearest Neighbor (KNN), Support Vector Machine (SVM) and Ensemble have been used as a classifiers and their results are compared. KNN reports the lowest accuracy of 81.60% on MIT- BIH Arrythmia Database. SVM and Ensemble reports the highest accuracy of 97.40%.

关键词： Electrocardiography Feature extraction Heart Discrete wavelet transforms Databases Sensors

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313页 << < 31 32 33 34 35 36 37 38 39 40 > >>

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：