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

2,189 篇 会议
23 篇 期刊文献
5 册 图书

馆藏范围

2,217 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

1,310 篇 工学
- 756 篇 计算机科学与技术...
- 599 篇 电气工程
- 406 篇 信息与通信工程
- 390 篇 软件工程
- 135 篇 电子科学与技术（可...
- 115 篇 光学工程
- 99 篇 生物医学工程（可授...
- 76 篇 仪器科学与技术
- 60 篇 控制科学与工程
- 56 篇 测绘科学与技术
- 42 篇 机械工程
- 25 篇 生物工程
- 21 篇 轻工技术与工程
- 16 篇 化学工程与技术
- 13 篇 航空宇航科学与技...
- 11 篇 材料科学与工程（可...
- 11 篇 动力工程及工程热...
988 篇 理学
- 590 篇 数学
- 531 篇 物理学
- 66 篇 统计学（可授理学、...
- 49 篇 系统科学
- 31 篇 生物学
- 19 篇 化学
365 篇 医学
- 351 篇 临床医学
- 32 篇 基础医学(可授医学...
- 28 篇 特种医学
- 27 篇 药学(可授医学、理...
46 篇 管理学
- 30 篇 管理科学与工程(可...
- 20 篇 图书情报与档案管...
15 篇 法学
- 10 篇 法学
7 篇 军事学
4 篇 农学
2 篇 艺术学
1 篇 经济学
1 篇 教育学
1 篇 文学

主题

406 篇 wavelet transfor...
313 篇 discrete wavelet...
273 篇 image coding
182 篇 image processing
177 篇 wavelets
160 篇 signal processin...
117 篇 wavelet transfor...
108 篇 image compressio...
101 篇 image reconstruc...
96 篇 wavelet analysis
87 篇 feature extracti...
82 篇 signal processin...
79 篇 image segmentati...
71 篇 watermarking
71 篇 image resolution
66 篇 noise reduction
65 篇 filter bank
65 篇 psnr
65 篇 discrete wavelet...
63 篇 wavelet

机构

7 篇 rice univ dept e...
6 篇 rice univ housto...
5 篇 maharishi school...
5 篇 department of el...
5 篇 swiss fed inst t...
4 篇 rice univ dept m...
4 篇 swiss fed inst t...
4 篇 rice univ dept e...
3 篇 univ arizona col...
3 篇 mks imaging tech...
3 篇 centre of resear...
3 篇 cnr iroe nello c...
3 篇 school of scienc...
3 篇 univ illinois de...
3 篇 indian inst tech...
3 篇 texas a&m univ c...
3 篇 purdue univ west...
3 篇 mohammed bin ras...
3 篇 tel aviv univ sc...
3 篇 polytech univ br...

作者

19 篇 unser m
9 篇 baraniuk r
8 篇 blu t
8 篇 alparone l
8 篇 choi h
7 篇 gholamreza anbar...
7 篇 ebrahimi t
7 篇 hasan demirel
6 篇 vetterli m
6 篇 ramchandran k
6 篇 do mn
5 篇 averbuch az
5 篇 demirel hasan
5 篇 baronti s
5 篇 jones kj
5 篇 aldroubi a
5 篇 cohen l
5 篇 anbarjafari ghol...
5 篇 olmo g
5 篇 jin gf

语言

2,116 篇 英文
64 篇 土耳其文
22 篇 其他
15 篇 中文

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

共 2217 条记录，以下是901-910 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：

A new approach for open-close eye states detection: Complex wavelet transform and complex-valued ANN

A new approach for open-close eye states detection: Complex ...

引用

IEEE signal processing and Communications applications (SIU)

作者： Mehmet Çelebi̇ Murat Ceylan Elektrik ve Elektronik Mühendisliği Bölümü Selçuk Üniversitesi Konya TURKEY

A novel method for open-close eye states detection, based on complex wavelet transform (CWT) and complex-valued artificial neural network (CVANN) is proposed in this study. Firstly, color information of images is used. Red images for eye are chosen as intensity image of color image. After getting the red image of seperately right and left eye, the color information is used to feature extraction with CWT. Features of eyes are extracted using CWT with 4th level and image size is reduced. After then, four statistical features (maximum value, minimum value, mean value and standard deviation) are obtained from extracted features. These new statistical features are presented to CVANN as inputs. image set including ten person images with open and close eye states is used in this study, CVANN detected eye states with % 6.7 numerical test error. Classification results shown that, one of ten images is misclassified for two states.

关键词： Feature extraction Histograms Artificial neural networks Continuous wavelet transforms Iris

来源：评论

学校读者我要写书评

暂无评论

Using wavelet transform and neural networks for the analysis of brain MR images

Using wavelet transform and neural networks for the analysis...

引用

IEEE signal processing and Communications applications (SIU)

作者： Ayşe Demirhan İnan Güler Teknoloji Fakültesi Gazi Üniversitesi Turkey

In this study brain MR images are segmented into the constitutive tissues such as the gray matter, white matter and cerebrospinal fluid using multiresolutional wavelet packet transform and self-organizing map networks. For this purpose T1-weighted, T2-weighted and PD-weighted simulated brain MR images are used. First of all, wavelet packet transform is applied to the images. Subimages obtained from the transform are filtered using best subtree method. Feature vector that is used as input to the neural network is constructed by combining the reconstructed images that are the result of the transform. As a consequence brain MR images are segmented into gray matter, white matter and cerebrospinal fluid using self-organizing map networks.

关键词： image segmentation Biological neural networks wavelet transforms Pattern recognition Digital images Magnetic resonance

来源：评论

学校读者我要写书评

暂无评论

Combining DWT and LSB watermarking to secure revocable iris templates

Combining DWT and LSB watermarking to secure revocable iris ...

引用

International Symposium on signal processing and Its applications (ISSPA)

作者： Marwa Fouad Abdulmotaleb El Saddik Emil Petriu Multimedia Communications Research Laboratory (MCRLab). University of Ottawa Ottawa Canada Distributed & Collaborative Virtual Environments Research Laboratory (DISCOVER) University of Ottawa Ottawa Canada

In this paper, we present a scheme for securing revocable iris templates using watermarking. A user specific shuffling key is used to shuffle blocks of the iris code to achieve revocability, as well as increase the separation between genuine and imposter Hamming distance distributions. 3-level DWT decomposition is used for the watermarking algorithm. Discrete wavelet Transform was chosen, for robustness, security and accuracy, to embed the shuffled iris code in a cover image. To test the proposed algorithm, recognition rates are calculated after several geometrical and frequency attacks, which shows acceptable performance rates, while ensuring revocability and security of the iris templates.

关键词： Robustness Biological system modeling Pattern recognition Discrete wavelet transforms image recognition image coding Databases

来源：评论

学校读者我要写书评

暂无评论

TOWARDS A COMPREHENSIVE COLOR STEREOSCOPIC MATCHING MODEL BASED ON HVS BEHAVIOR

TOWARDS A COMPREHENSIVE COLOR STEREOSCOPIC MATCHING MODEL BA...

引用

European signal processing conference

作者： Rafik BENSALMA Mohamed-Chaker LARABI XLIM lab. SIC dept. University of Poitiers

3D applications need a stereo matching algorithm that can merge the left image with the right image. In this paper we propose a stereo matching algorithm based on some binocular properties of the human visual system. For this, we have focused on the simple and complex cells properties that are responsible for binocular fusion. A model, based on a complex wavelet transform, a color contrast sensitivity function and a bandelet transform, is proposed to model the properties of the simple and complex cells characterized by their size, orientation, phase and amplitude. This model is designed to calculate the binocular energy generated by each binocular complex cell. A model refinement based on properties specific to the lateral geniculate body is then proposed to refine the results obtained with the binocular energy model calculation. The obtained results can be exploited by the stereoscopic vision applications, such as 3D reconstruction, stereoscopic coding, stereoscopic quality assessment and other applications.

关键词： Stereo image processing Computational modeling Retina Continuous wavelet transforms image color analysis Mathematical model

来源：评论

学校读者我要写书评

暂无评论

image Encryption Algorithm Based on Chaos and Contourlet Transform

Image Encryption Algorithm Based on Chaos and Contourlet Tra...

引用

International conference on Pervasive Computing signal processing and applications (PCSPA)

作者： Aiping Jiang Jia Yu Xiaoyu Cang Key Laboratory of Electronics Engineering College of Heilongjiang Province Heilongjiang University Harbin China No.5 Research Department No. 703 Research Institute of CSIC Harbin China

A new algorithm based on chaos and Contourlet is presented in this paper for image encryption. Firstly, the image is decomposed with contourlet into several sub-bands. Three bands are selected to encrypt. At the same time, we divide the bands into non-covered blocks, respectively. Secondly, two natural chaotic sequences are created with the key. With one chaotic sequence, the encryption template used to adjust transform coefficients is made. Finally, after inverse contourlet transform, the image matrix is transformed to an encrypted image by Magic Cube Transformation. The decryption operation is the reverse process. The experimental results suggest that the algorithm proposed not only has good encryption ability, but also can withstand the attack of JPEG compression, the effects of noise and cropping to some extent.

关键词： Encryption Chaotic communication wavelet transforms signal processing algorithms

来源：评论

学校读者我要写书评

暂无评论

Coding of Mosaic image Based on wavelet Sub-band Substitute

Coding of Mosaic Image Based on Wavelet Sub-band Substitute

引用

International conference on Pervasive Computing signal processing and applications (PCSPA)

作者： Yongqiang Cheng Xueying Zhang Junhai Wen College of Information Engineering Taiyuan University of Technology Taiyuan China Life School Beijing Institute of Technology Beijing China

In this paper, we propose a visual lossless compression scheme of mosaic image based on wavelet sub-band substitute. The proposed compression scheme consists of three coding pipelines: green component lossless coder, red component near-lossless coder and blue component near-lossless coder. Firstly, full resolution green image which is demosaiced from raw mosaic image is produced and green mosaic image is losslessly coded by LOCO-I scheme designed by Weinberger. Then low frequency sub-bands of red and blue mosaic component are also coded by LOCO-I while their high frequency sub-bands are ignored. In the decoder, the high frequency sub-bands of red and blue mosaic component are taken from the high frequency sub-bands of full resolution green image which locate at the same position as raw red or blue mosaic image, so we can reconstruct raw red or blue mosaic image based on decoded low frequency sub-bands of red and blue mosaic component. Consequently, we can encode mosaic images at low complexity level at higher compression ratio. Compared with JPEG2000, the performance of proposed method is apparently better.

关键词： image coding image color analysis Transform coding Pixel Arrays Pipelines image resolution

来源：评论

学校读者我要写书评

暂无评论

Face recognition using SIFT descriptors extracted from multiresolution images

Face recognition using SIFT descriptors extracted from multi...

引用

IEEE signal processing and Communications applications (SIU)

作者： Alaa Eleyan Hasan Demirel Elektrik ve Elektronik Mühendisliği Bölümü Lefke Avrupa Üniversitesi KKTC Turkey Elektrik ve Elektronik Mühendisliği Bölümü Doğu Akdeniz Üniversitesi Turkey

In this work, we developed a technique for face recognition using the idea of multiresolution face recognition. The multiresolution subbands are generated by using discrete wavelet transform (DWT). We then apply scale invariant feature transform (SIFT) to extract the salient feature descriptors at each subband using the resulting low frequency subband of the image. The descriptors are used to perform the recognition of the faces in each subband with different resolutions. Then decisions coming from each subband are combined by using simple majority voting to increase the recognition performance. Proposed, multiresolution SIFT approach shows promising results and outperforms the conventional SIFT approaches.

关键词： Discrete wavelet transforms image resolution Face recognition Computer vision conferences Feature extraction

来源：评论

学校读者我要写书评

暂无评论

引用

International conference on image Analysis and signal processing, IASP

作者： Yanmin Luo Minghong Liao Zhipeng Zhan College of Computer Science & Technology Huaqiao University Quanzhou China Congnitive Science Department Fujian Key Laboratory of the Brain-Like Intelligent Systems Xiamen University Xiamen China Software School of Xiamen University Xiamen China

Time-series data mining is a very important element of data mining. As a typical time-series data, video data has been widely used for many applications such as film, medical, sports and traffic areas. In this paper we integrates several technologies into the video moving object time-series data mining. We propose a similarity analysis and clustering algorithm for videos based on the moving trajectory time series data wavelet transform of the moving object in the videos. Utilizing the image difference technique, our algorithm detects the moving objects from the scene surveillance video, calculates the centroid of the moving object, and uses the centroid series to character the moving trajectory of the object. Then we use wavelet analysis method to achieve dimensionality reduction and get the first k wavelet coefficient to substitute the original motion time-serial data. Based on the Euclidean distance, we utilize two judgement rules to determine the similarity of time-serial data and cluster them, use the rules to perform the similarity search and clustering of video. We apply the algorithm to athletic sports videos analysis.

关键词： Time series analysis Algorithm design and analysis Clustering algorithms wavelet analysis wavelet transforms Data mining Biomedical imaging Object detection Layout Surveillance

来源：评论

学校读者我要写书评

暂无评论

Hardware Implementation of Lifting Based wavelet Transform

Hardware Implementation of Lifting Based Wavelet Transform

引用

2010 2nd International conference on signal processing System(2010年信号处理系统国际会议 ICSPS 2010)

作者： Morteza Gholipour Hossein Ahmadi Noubari Islamic Azad University-Behshahr Branch Behshahr Iran Faculty of Engineering University of Tehran Tehran Iran

In this paper, a VLSI implementation of the lifting based Discrete wavelet Transform (DWT) is presented. The behavioral description of integer-to-integer CDF (2,2) lifting wavelet, which is used in image compression has been coded in Verilog Hardware Description Language (HDL). The code has been synthesized and then implemented using both Field Programmable Gate Array (FPGA) and Application Specific Integrated Circuit (ASIC) design approaches. Postsynthesis and post-layout simulations verify the appropriate operation of he architecture. The resulting hardware can be used in image eom pression applications such as JPEG2000.

关键词： wavelet Lifting Scheme VLSI FPGA

来源：评论

学校读者我要写书评

暂无评论

Framework for FPGA–Based Floating Point Discrete-wavelet Transform Computation Algorithm

Framework for FPGA–Based Floating Point Discrete-Wavelet Tr...

引用

International conference on Computer and Network Technology (ICCNT)

作者： Punam U. Chati PCE Nagpur India

ISBN: (纸本)9781424469611

The discrete wavelet transform has taken its place at the forefront of research for the development of signal and image processing applications. Hence this paper is proposed on the work of design of hardware for the computation of Floating Point Discrete wavelet Transform using Harr wavelet. The proposed hardware was implemented using VHDL and components were designed at the gate level. This resulted in an easier synthesizable design. The hardware was synthesized using Xilinx Virtex-4 device. This paper gives us an insight into the making of hardware for computation of DWT using a 32 bit Floating Point Unit. Since all the wavelets except Harr wavelet have their coefficients in floating point representation, a 32 bit FPU was incorporated into the proposed hardware. Typically, synthesis tools are not efficient in designing a memory and the proposed hardware was consisting of two 16K X 32 bit RAM's. Hence many problems had been faced and solved during the synthesis of this hardware.

关键词： Discrete wavelet transforms Discrete transforms Hardware Frequency signal analysis Computer networks image processing signal synthesis wavelet analysis Information analysis

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222页 << < 87 88 89 90 91 92 93 94 95 96 > >>

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：