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

381 篇 会议
323 篇 期刊文献
23 篇 学位论文

馆藏范围

727 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

647 篇 工学
- 416 篇 计算机科学与技术...
- 293 篇 电气工程
- 67 篇 软件工程
- 66 篇 信息与通信工程
- 52 篇 生物医学工程（可授...
- 51 篇 控制科学与工程
- 29 篇 电子科学与技术（可...
- 27 篇 机械工程
- 25 篇 仪器科学与技术
- 22 篇 测绘科学与技术
- 12 篇 光学工程
- 9 篇 材料科学与工程（可...
- 8 篇 环境科学与工程（可...
- 4 篇 生物工程
- 4 篇 网络空间安全
146 篇 理学
- 69 篇 物理学
- 33 篇 生物学
- 14 篇 系统科学
- 11 篇 数学
- 11 篇 地球物理学
- 8 篇 化学
- 4 篇 地理学
- 3 篇 大气科学
134 篇 医学
- 90 篇 临床医学
- 24 篇 基础医学(可授医学...
- 24 篇 特种医学
40 篇 管理学
- 35 篇 管理科学与工程(可...
- 4 篇 公共管理
25 篇 农学
- 7 篇 作物学
3 篇 文学
- 3 篇 新闻传播学
3 篇 艺术学
2 篇 法学
1 篇 教育学

主题

727 篇 local binary pat...
65 篇 feature extracti...
58 篇 face recognition
56 篇 support vector m...
47 篇 facial expressio...
36 篇 support vector m...
32 篇 texture classifi...
29 篇 classification
27 篇 image classifica...
26 篇 histogram of ori...
25 篇 texture analysis
24 篇 texture
21 篇 lbp
21 篇 machine learning
18 篇 deep learning
18 篇 biometrics
18 篇 texture descript...
17 篇 svm
16 篇 gabor filters
16 篇 adaboost

机构

18 篇 brno university ...
7 篇 missouri state u...
6 篇 siirt univ dept ...
4 篇 univ loughboroug...
4 篇 univ nacl autono...
4 篇 taizhou univ sch...
3 篇 shiraz univ sch ...
3 篇 univ chinese aca...
3 篇 tech univ cluj n...
3 篇 salzburg univ de...
3 篇 ocean univ china...
3 篇 ocean univ china...
3 篇 north china univ...
3 篇 indian inst tech...
3 篇 hohai univ sch e...
3 篇 islamic azad uni...
3 篇 shenzhen univ co...
3 篇 beijing jiaotong...
3 篇 chinese acad sci...
3 篇 univ oulu machin...

作者

13 篇 nanni loris
12 篇 brahnam sheryl
10 篇 hadid abdenour
9 篇 pietikainen matt...
8 篇 lumini alessandr...
8 篇 kaya yilmaz
7 篇 escalante-ramire...
6 篇 lenc ladislav
6 篇 bianconi frances...
6 篇 nava rodrigo
5 篇 florindo joao b.
5 篇 zhang shiqing
5 篇 dong junyu
5 篇 cristobal gabrie...
5 篇 gao feng
5 篇 kral pavel
4 篇 mukundan ramakri...
4 篇 doshi niraj p.
4 篇 fernandez antoni...
4 篇 zhao xiaoming

语言

697 篇 英文
13 篇 其他
7 篇 土耳其文
7 篇 中文
3 篇 俄文
1 篇 德文

检索条件"主题词=Local binary patterns"

共 727 条记录，以下是141-150 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：

Knee cartilage segmentation using active shape models and local binary patterns

Knee cartilage segmentation using active shape models and lo...

引用

Optics, Photonics, and Digital Technologies for Multimedia Applications III

作者： Gonzalez, German Escalante-Ramirez, Boris Univ Nacl Autonoma Mexico Posgrado Ingn Elect Mexico City 04510 DF Mexico Univ Nacl Autonoma Mexico Fac Ingn Dept Proccesamiento Senales Mexico City 04510 DF Mexico

ISBN: (纸本)9781628410860

Segmentation of knee cartilage has been useful for opportune diagnosis and treatment of osteoarthritis (OA). This paper presents a semiautomatic segmentation technique based on Active Shape Models (ASM) combined with local binary patterns (LBP) and its approaches to describe the surrounding texture of femoral cartilage. The proposed technique is tested on a 16-image database of different patients and it is validated through Leave-One-Out method. We compare different segmentation techniques: ASM-LBP, ASM-medianLBP, and ASM proposed by Cootes. The ASM-LBP approaches are tested with different ratios to decide which of them describes the cartilage texture better. The results show that ASM-medianLBP has better performance than ASM-LBP and ASM. Furthermore, we add a routine which improves the robustness versus two principal problems: over-segmentation and initialization.

关键词： Knee Cartilage Segmentation active shape models local binary patterns

来源：评论

学校读者我要写书评

暂无评论

Random texture defect detection using 1-D Hidden Markov Models based on local binary patterns

Random texture defect detection using 1-D Hidden Markov Mode...

引用

10th IAPR Conference on Machine Vision Applications (MVA2007)

作者： Hadizadeh, Hadi Shokouhi, Shahriar Baradaran Iran Univ Sci & Technol Dept Elect Engn Tehran Iran

In this paper a novel method for the purpose of random texture defect detection using a collection of 1-D HMMs is presented. The sound textural content of a sample of training texture images is first encoded by a compressed LBP histogram and then the local patterns of the input training textures are learned, in a multiscale framework, through a series of HMMs according to the LBP codes which belong to each bin of this compressed LBP histogram. The hidden states of these HMMs at different scales are used as a texture descriptor that can model the normal behavior of the local texture units inside the training images. The optimal number of these HMMs (models) is determined in an unsupervised manner as a model selection problem. Finally, at the testing stage, the local patterns of the input test image are first predicted by the trained HMMs and a prediction error is calculated for each pixel position in order to obtain a defect map at each scale. The detection results are then merged by an inter-scale post fusion method for novelty detection. The proposed method is tested with a database of grayscale ceramic the images.

关键词： hidden Markov models random texture texture defect detection local binary patterns

来源：评论

学校读者我要写书评

暂无评论

Adaptation of local binary patterns toward Robustness to Gaussian Noise 14

Adaptation of Local Binary Patterns toward Robustness to Gau...

引用

14th Symposium on Neural Networks and Applications (NEUREL)

作者： Paskas, Milorad P. Slavkovic-Ilic, Marijeta Reljin, Irini S. Reljin, Branimir D. Univ Belgrade Sch Elect Engn Innovat Ctr Bulevar Kralja Aleksandra 73 Belgrade 11120 Serbia Univ Belgrade Sch Elect Engn Bulevar Kralja Aleksandra 73 Belgrade 11120 Serbia

ISBN: (纸本)9781538669747

local binary patterns represent very powerful feature for image classification. It evolved from the original model to many modifications and adaptations. However, almost all of derived models are based on the basic idea to code each pixel's 3x3 neighborhood binary. In this paper we propose modification of this idea in order to increase its robustness to Gaussian noise. Instead of calculating differences on 3x3 neighborhood regarding central pixel, we apply calculation of differences regarding average pixel intensity on that neighborhood. This kind of averaging improves classification performances with respect to noise. Proposed method is further tested for classification on two publicly available texture datasets and obtained results, with and without noise addition, prove our assumptions.

关键词： Gaussian noise image classification local binary patterns textural images

来源：评论

学校读者我要写书评

暂无评论

Insulator Condition using local binary patterns Combined with Support Vector Machines

Insulator Condition using Local Binary Patterns Combined wit...

引用

IEEE AFRICON Conference - Science, Technology and Innovation for Africa

作者： Iruansi, Usiholo Tapamo, Jules R. Davidson, Innocent E. Univ KwaZulu Natal Sch Engn Durban South Africa Durban Univ Technol Dept Elect Power Engn Durban South Africa

ISBN: (纸本)9781538627754

Insulator is an important component in the power grid. Therefore, faulty insulator can cause a great damage to the power grid that would lead to leakage currents flowing through line supports. This leads to increase in electrical loses, voltage drop and put human safety to risk. Hence, it is very important to monitor the condition of an insulator before resulting to a great damage in the power grid. Computer vision is recognized as a means to solve this problem safely, speedily and accurately instead of the manual method of monitoring. This paper presents insulator condition using local binary patterns combined with support vector machines. Experiments show an improved performance when local binary patterns is used as a feature extraction method over gray level co-occurrence matrix combined with support vector machines. Results obtained are presented and discussed.

关键词： Insulators Insulator Condition local binary patterns Support Vector Machines

来源：评论

学校读者我要写书评

暂无评论

Face Recognition Based on Logarithmic local binary patterns

Face Recognition Based on Logarithmic Local Binary Patterns

引用

Conference on Image Processing - Algorithms and Systems XI

作者： Mandal, Debashree Panetta, Karen Agaian, Sos Tufts Univ Dept Elect & Comp Engn Medford MA 02155 USA

ISBN: (纸本)9780819494283

This paper presents a novel approach to the problem of face recognition that combines the classical local binary Pattern (LBP) feature descriptors with image processing in the logarithmic domain and the human visual system. Particularly, we have introduced parameterized logarithmic image processing (PLIP) operators based LBP feature extractor. We also use the human visual system based image decomposition, which is based on the Weber's law to extract features from the decomposed images and combine those with the features extracted from the original images thereby enriching the feature vector set and obtaining improved rates of recognition. Comparisons with other methods are also presented. Extensive experiments clearly show the superiority of the proposed scheme over LBP feature descriptors. Recognition rates as high as 99% can be achieved as compared to the recognition rate of 96.5% achieved by the classical LBP using the AT&T Laboratories face database.

关键词： local binary patterns Logarithmic Image Processing Feature Extraction Human Visual System

来源：评论

学校读者我要写书评

暂无评论

Defect detection in patterned fabrics using modified local binary patterns

Defect detection in patterned fabrics using modified Local B...

引用

7th International Conference on Computational Intelligence and Multimedia Applications

作者： Tajeripour, F. Kabir, E. Sheikhi, A. Islamic Azad Univ Dept Elect Engn Fasa Branch Tehran Iran Tarbiat Modares Univ Dept Elect Engn Tehran Iran Shiraz Univ Dept Elect & Elect Engn Shiraz Iran

ISBN: (纸本)0769530508

local binary patterns, LBP, is one of the features which has been used for texture classification. In this paper, a method based oil using these features is proposed for detecting defects in patterned fabrics. In the training stage, at first step LBP operator is applied to all rows (columns) of a defect free fabric sample, pixel by pixel, and the reference feature vector is computed. Then this image is divided into windows and LBP operator is applied to each row, (column) of these windows. Based on comparison with the reference feature vector a suitable threshold for defect free windows is found. In the defection stage, a test image is divided into windows and using the threshold, defective windows call be detected. The proposed method is simple and gray scale invariant. Because of its simplicity, online implementation is possible as well.

关键词： defect detection texture local binary patterns fabric machine vision

来源：评论

学校读者我要写书评

暂无评论

AUTOMATIC CLASSIFICATION OF SKIN LESIONS USING GEOMETRICAL MEASUREMENTS OF ADAPTIVE NEIGHBORHOODS AND local binary patterns

AUTOMATIC CLASSIFICATION OF SKIN LESIONS USING GEOMETRICAL M...

引用

IEEE International Conference on Image Processing (ICIP)

作者： Gonzalez-Castro, V. Debayle, J. Wazaefi, Y. Rahim, M. Gaudy, C. Grob, J-J. Fertil, B. Ecole Natl Super Mines LGF UMR CNRS 5307 F-42023 St Etienne France UMR CNRS 7296 Lab Sci Informat & Syst Marseille France Hop Enfants La Timone Serv Dermatol Marseille France

ISBN: (纸本)9781479983391

This paper introduces a method for characterizing and classifying skin lesions in dermoscopic color images with the goal of detecting which ones are melanoma (cancerous lesions). The images are described by means of the local binary patterns (LBPs) computed on geometrical feature maps of each color component of the image. These maps are extracted from geometrical measurements of the General Adaptive Neighborhoods (GAN) of the pixels. The GAN of a pixel is a region surrounding it and fitting its local image spatial structure. The performance of the proposed texture descriptor has been evaluated by means of an Artificial Neural Network, and it has been compared with the classical LBPs. Experimental results using ROC curves show that the GAN-based method outperforms the classical one and the dermatologists' predictions.

关键词： Melanoma Texture description General adaptive neighborhoods local binary patterns

来源：评论

学校读者我要写书评

暂无评论

REGISTRATION OF RF ULTRASOUND DATA USING HYBRID local binary patterns

REGISTRATION OF RF ULTRASOUND DATA USING HYBRID LOCAL BINARY...

引用

9th IEEE International Symposium on Biomedical Imaging (ISBI) - From Nano to Macro

作者： Klein, T. Hansson, M. Karamalis, A. Navab, N. Tech Univ Munich D-8000 Munich Germany Malmo Univ Sch Technol Malmo Sweden

ISBN: (纸本)9781457718588

Registration of ultrasound images is often complicated due to inherent noise. Robust similarity metrics and optimization procedures are required to facilitate medical applicability. In this paper a novel hybrid procedure, incorporating global statistics and local textural features, is proposed for the registration of envelope detected radio frequency ultrasound data. On the global scale this is achieved by Hellinger distance between distribution in images, and on the local scale by a statistics-based extension of Fuzzy local binary patterns (FLBP). The proposed procedure is shown to outperform standard measures such as SSD and NCC, as well as Hellinger distance and histogram matching of standard FLBPs, in rigid registration experiments of envelope detected radio frequency data samples of the human neck.

关键词： Ultrasound Radio Frequency (RF) Similarity Hellinger local binary patterns Nakagami

来源：评论

学校读者我要写书评

暂无评论

BILGE DUMP DETECTION FROM SAR IMAGERY USING local binary patterns

BILGE DUMP DETECTION FROM SAR IMAGERY USING LOCAL BINARY PAT...

引用

IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

作者： Mdakane, L. W. Kleynhans, W. Schwegmann, C. P. Univ Pretoria Dept Elect Elect & Comp Engn ZA-0002 Pretoria South Africa CSIR Meraka Inst Remote Sensing Res Unit ZA-0001 Pretoria South Africa

ISBN: (纸本)9781479979295

Accidental or deliberate bilge dumping presents a major threat to the sea ecosystem. We present a semi automatic approach to detect bilge dumping in synthetic aperture radar (SAR) images. The approach consist of three main parts. Firstly, areas with high probability of being bilge dumps are detected using local binary patterns (LBP) with an adaptive threshold. Secondly, features are extracted from the detected dark spots and lastly, the features are analysed using bilge dump database to discriminate dark spot as bilge or not bilge. The automated approach was investigated on nine visually inspected images of SENTINEL 1A and ENVISAT Advanced Synthetic Aperture Radar (ASAR) images. The performance was measured by comparing the number of detected bilge dumps using the automated approach with the visually detected database. The automated detection approach showed to be a good alternative of the labour intensive manual inspection of bilge dumps, particularly for large ocean area monitoring.

关键词： local binary patterns Bilge waste dumping Synthetic Aperture Radar (SAR)

来源：评论

学校读者我要写书评

暂无评论

Neighborhood Estimated local binary patterns for Texture Classification

Neighborhood Estimated Local Binary Patterns for Texture Cla...

引用

International Conference on Advances in Materials Science and Information Technologies in Industry (AMSITI)

作者： Song, Kechen Yan, Yunhui Northeastern Univ Sch Mech Engn & Automat Shenyang Peoples R China

ISBN: (纸本)9783038350125

A novel texture classification approach based on neighborhood estimated local binary patterns (NELBP) is proposed. In the proposed approach, the local surrounding values of neighborhood estimated are introduced to operate binary patterns. Moreover, two different and complementary descriptors (average-based descriptor and differences-based descriptor) are extracted from local patches. Contrast experiments on Outex database and CUReT database demonstrate that the proposed NELBP is more robust to Gaussian noise than the conventional LBP for texture classification. In addition, the results also show that the combined complementary descriptor playes an important role in texture classification.

关键词： local binary patterns neighborhood estimated texture classification

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73页 << < 11 12 13 14 15 16 17 18 19 20 > >>

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：