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71-80 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：

FACE RECOGNITION WITH STATISTICAL local binary patterns

FACE RECOGNITION WITH STATISTICAL LOCAL BINARY PATTERNS

引用

International Conference on Machine Learning and Cybernetics

作者： Chen, Lei Wang, Yun-Hong Wang, Yi-Ding Huang, Di Beihang Univ Sch Comp Sci & Engn Beijing 100191 Peoples R China North China Univ Technol Coll Informat Engn Beijing 100041 Peoples R China Ecole Cent Lyon MI Dept Lyon France

ISBN: (纸本)9781424447053

In this work, we present a novel algorithm for face recognition named statistical local binary patterns (sLBP). This is a further development of original local binary Pattern algorithm. Our method is applied for face recognition under visual light environment dealing with dramatically illumination varying on faces. After a statistical analysis on the distribution probability of the gray-level difference values between neighbor pixels, a mapping function is proposed to encode a wide range of these values into three binary bits. Three extension LBP layers are then generated. Finally the uniform pattern histograms of all these layers in every divided region are concatenated as an enhanced local feature vector of the face image. Experimental results on FERET face database show considerable effectiveness and robustness of our proposed method.

关键词： Face recognition local binary patterns uniform pattern statistical analysis

来源：评论

学校读者我要写书评

暂无评论

Eye Blink Detection Using local binary patterns

Eye Blink Detection Using Local Binary Patterns

引用

International Conference on Multimedia Computing and Systems (ICMCS)

作者： Malik, Krystyna Smolka, Bogdan Silesian Tech Univ Dept Automat Control Akad 16 Str PL-44100 Gliwice Poland

ISBN: (纸本)9781479938247

In the paper a novel approach to the problem of eye blink detection in video sequences is proposed. The introduced method is utilizing the technique of local binary patterns (LBP), which enables to build a descriptor capturing the features of the current eye state. In the initial step, the histogram of LBP describing the open eye is constructed and afterwards it serves as a template, which is compared with the histogram of the LBP of subsequent frames. The eye blinks are detected as sharp peaks of the dissimilarity between the template and the histogram of the current frame. The efficiency of the proposed eye blink detector has been compared with the state-of-the-art approaches using two video databases. The analysis of the results shows that the proposed technique effectiveness is superior to the existing methods of eye blink detection.

关键词： eye blink detection local binary patterns video analysis

来源：评论

学校读者我要写书评

暂无评论

The Effects of Image Pre- and Post-Processing, Wavelet Decomposition, and local binary patterns on U-Nets for Skin Lesion Segmentation

The Effects of Image Pre- and Post-Processing, Wavelet Decom...

引用

International Joint Conference on Neural Networks (IJCNN)

作者： Ross-Howe, Sara Tizhoosh, H. R. Univ Waterloo Kimia Lab Waterloo ON Canada

ISBN: (纸本)9781509060146

Skin cancer is a widespread, global, and potentially deadly disease, which over the last three decades has afflicted more lives in the USA than all other forms of cancer combined. There have been a lot of promising recent works utilizing deep network architectures, such as FCNs, U-Nets, and ResNets, for developing automated skin lesion segmentation. This paper investigates various pre- and post-processing techniques for improving the performance of U-Nets as measured by the Jaccard Index. The dataset provided as part of the "2017 ISBI Challenges on Skin Lesion Analysis Towards Melanoma Detection" was used for this evaluation and the performance of the finalist competitors was the standard for comparison. The pre-processing techniques employed in the proposed system included contrast enhancement, artifact removal, and vignette correction. More advanced image transformations, such as local binary patterns and wavelet decomposition, were also employed to augment the raw grayscale images used as network input features. While the performance of the proposed system fell short of the winners of the challenge, it was determined that using wavelet decomposition as an early transformation step improved the overall performance of the system over pre- and post-processing steps alone.

关键词： Skin Lesion Segmentation Deep Learning U-Nets Wavelets local binary patterns

来源：评论

学校读者我要写书评

暂无评论

FUZZY THRESHOLD-BASED UNIFORM local binary patterns FOR HYPERSPECTRAL IMAGERY CLASSIFICATION 8

FUZZY THRESHOLD-BASED UNIFORM LOCAL BINARY PATTERNS FOR HYPE...

引用

8th Workshop on Hyperspectral Image and Signal Processing - Evolution in Remote Sensing (WHISPERS)

作者： Jia, Sen Hu, Jie Deng, Lin Su, Hongjun Shenzhen Univ Coll Comp Sci & Software Engn Shenzhen Peoples R China Hohai Univ Sch Earth Sci & Engn Nanjing Jiangsu Peoples R China

ISBN: (纸本)9781509006083

local binary patterns (LBP) is a simple and efficient texture description operator, and the improved "uniform" local binary patterns (uLBP) has been proved to be a powerful feature expression for texture classification. However, due to the "0" threshold operation in uLBP, it is sensitive to gray variance resulting from noises and disturbance among classes, which reduces the classification performance. In this paper, a fuzzy threshold-based uniform local binary patterns, abbreviated as ftuLBP, has been proposed to enhance the robustness of the descriptor to gray variance. Specifically, the proposed ftuLBP operator defines a slack variable sigma to allow the difference between the central pixel g(p) and neighbor pixel g(c) to vary in the interval (-sigma, sigma). If the result g(p)-g(c) is in the interval (-sigma, sigma), "0" is given. Otherwise, "1" is given. Through incorporating the fuzzy threshold operator, the ftuLBP method is more robust to noise and disturbance among classes (such as the mutual disturbance among pixels on the edge). The classification results using sparse representation-based classification (SRC) on the Pavia center hyperspectral data set have demonstrated the superiority of the proposed ftuLBP algorithm over the uLBP method.

关键词： Hyperspectral imagery classification local binary patterns fuzzy threshold operator

来源：评论

学校读者我要写书评

暂无评论

Comparative Analysis of Emotion Detection from Facial Expressions and Voice Using local binary patterns and Markov Models 2018

Comparative Analysis of Emotion Detection from Facial Expres...

引用

2nd International Conference on Vision, Image and Signal Processing (ICVISP)

作者： Chengeta, Kennedy Univ KwaZulu Natal Sch Comp Sci & Math Westville Campus Durban South Africa

ISBN: (纸本)9781450365291

Emotion detection has been achieved widely in facial and voice recognition separately with considerable success. The 6 emotional categories coming out of the classification include anger, fear, disgust, happiness and surprise. These can be infered from one's facial expressions both in the form of micro and macro expressions. In facial expressions the emotions are derived by feature extracting the facial expressions in different facial poses and classifying the expression feature vectors derived. Similarly automatic classification of a person's speech's affective state has also been used in signal processing to give insights into the nature of emotions. Speech being a critical tool for communication has been used to derive the emotional state of a human being. Different approaches have been successfully used to derive emotional states either in the form of facial expression recognition or speech emotional recognition being used. Less work has looked at fusing the two approaches to see if this improves emotional recognition accuracy. The study analyses the strengths of both and also limitations of either. The study reveals that emotional derivation based on facial expression recognition and acoustic information complement each other and a fusion of the two leads to better performance and results compared to the audio or acoustic recognition alone.

关键词： Berlin Emotional Database local binary patterns Facial Recognition

来源：评论

学校读者我要写书评

暂无评论

FRONTAL FACE DETECTION FOR SURVEILLANCE PURPOSES USING DUAL local binary patterns FEATURES

FRONTAL FACE DETECTION FOR SURVEILLANCE PURPOSES USING DUAL ...

引用

IEEE International Conference on Image Processing

作者： Louis, Wael Plataniotis, K. N. Univ Toronto Multimedia Lab Edward S Rogers Dept Elect & Comp Engn Toronto ON Canada

ISBN: (纸本)9781424479948

Face detection in video sequence is becoming popular in surveillance applications, but the usage of large number of features and the long training time are persistent problems. This paper integrates two types of local binary patterns (LBP) features in order to achieve a high detection rate with a high discriminative power face detector. First LBP feature is a novel way of using the Circular LBP, in which the pixels of the image are targeted;it is a non-computationally expensive feature extraction. The second LBP feature is the LBP Histogram, in which regions in the image are targeted;it is more computationally expensive than Circular LBP features but has higher discriminative power. The proposed detector is examined on real-life low-resolution surveillance sequence. Conducted experiments show that the proposed detector achieves 98% detection rate in comparison to 91% for the Lienhart detector. The proposed detector tolerates wide range of illumination changes.

关键词： Frontal face detection local binary patterns Cascaded classifiers Feature extraction

来源：评论

学校读者我要写书评

暂无评论

Automatic Classification of HEp-2 Cells using Multi-Dimensional local binary patterns

Automatic Classification of HEp-2 Cells using Multi-Dimensio...

引用

2nd IAPR Asian Conference on Pattern Recognition (ACPR)

作者： Doshi, Niraj P. Schaefer, Gerald Univ Loughborough Dept Comp Sci Loughborough Leics England

ISBN: (纸本)9781479921904

Indirect immunolluorescence imaging is a fundamental technique used for detecting antinuclear antibodies in HEp-2 cells. This is particularly useful for the diagnosis of autoimmune diseases and other important pathological conditions involving the immune system. HEp-2 cells can be categorised into six groups: homogeneous, fine speckled, coarse speckled, nucleolar, cytoplasmic, and centromere cells, which give indications of different autoimmune diseases. This categorisation is typically performed through manual evaluation which is time consuming and subjective. In this paper, we propose a method for automatic classification of HEp-2 cells using local binary pattern (LBP) based texture descriptors. LBP is a simple yet powerful texture algorithm which encodes the relationship of pixels to their local neighbourhood. In our approach, we utilise multi-dimensional LBP (MD-LBP) histograms, which record multi-scale texture information while maintaining the relationships between the scales, and perform classification using support vector machines. We demonstrate our algorithm to work well on a dataset of 721 cell images, giving a correct classification rate exceeding 95%, which is particularly impressive as it is based solely on a single type of image feature.

关键词： indirect immunouorescence imaging HEp-2 cell classification texture local binary patterns MD-LBP

来源：评论

学校读者我要写书评

暂无评论

Pit Pattern Classification using Extended local binary patterns

Pit Pattern Classification using Extended Local Binary Patte...

引用

9th International Conference on Information Technology and Applications in Biomedicine

作者： Haefner, M. Gangl, A. Liedlgruber, M. Uhl, A. Vecsei, A. Wrba, F. Med Univ Vienna Dept Gastroenterol & Hepatol Vienna Austria Salzburg Univ Dept Comp Sci A-5020 Salzburg Austria Univ Vienna Dept Clin Pathol A-1010 Vienna Austria St Anna Childrens Hosp Vienna Austria

ISBN: (纸本)9781424453788

In this work we present a method for automated classification of endoscopic images according to the pit pattern classification scheme. Images taken during colonoscopy are transformed using a modified version of the local binary patterns operator (LBP). Then, two-dimensional histograms based on the LBP data from different color channels are created. Finally, the classification is carried out by employing the nearest-neighbors (1-NN) classifier in conjunction with the Bhattacharyya distance metric. The experimental results show that the extended LBP operator delivers superior results and an automated classification of endoscopic images based on the pit pattern classification scheme is feasible.

关键词： Colonoscopy colon cancer local binary patterns classification

来源：评论

学校读者我要写书评

暂无评论

A Face Recognition System Based on local binary patterns and Support Vector Machine for Home Security Service Robot 9

A Face Recognition System Based on Local Binary Patterns and...

引用

9th International Symposium on Computational Intelligence and Design (ISCID)

作者： Wang, Jiakailin Zheng, Jinjin Zhang, Shiwu He, Jijun Liang, Xiao Feng, Sui Univ Sci & Technol China Dept Precis Machinery & Precis Instrumentat Hefei Peoples R China

ISBN: (纸本)9781509035588

In this paper, we present a real-time face recognition system for home security service robot which can be applied to recognize the person's face in front and give a warning when the identity of the person is a stranger. Considering the complexity of the actual situation, there might be some errors causing by the following factors like the angle, the size, the environment and the illumination of the human face, which can hardly be avoided. Our system is designed to reduce and eliminate the influence of the factors above. This article first used local binary patterns (LBP) to detect face and cut out the face region. Then, based on the collected and pretreated face database, the target face could be recognized utilizing Support Vector Machine (SVM). However, the given face database are always irregular in size, position of the face area, scale and some other factors. The proposed face recognition system has been tested in practical application for home security service robot. The results indicate that our face recognition system is effective and real-time. It works well in multi-face recognition and stranger identification, which meet the demand of robot.

关键词： face recognition stranger identification home security service robot local binary patterns support vector machine

来源：评论

学校读者我要写书评

暂无评论

Statistical classifiers on local binary patterns for optical diagnosis of diabetic retinopathy 6

Statistical classifiers on local binary patterns for optical...

引用

Conference on Biophotonics - Photonic Solutions for Better Health Care VI

作者： Mukhopadhyay, Sabyasachi Pratiher, Sawon Mukherjee, Sukanya Pasupuleti, Gautham Barman, Ritwik Chhablani, Jay Panigrahi, Prasanta K. Indian Inst Sci Educ & Res Kolkata Mohanpur 741246 India Indian Inst Technol Kharagpur Kharagpur 721302 W Bengal India Univ Engn & Management Kolkata 700156 India Biodesign Innovat Labs Private Ltd Bengaluru 560029 India LV Prasad Eye Inst Kallam Anji Reddy CampusBanjara Hills Hyderabad 500034 India

ISBN: (数字)9781510618978

ISBN: (纸本)9781510618978

Diabetic retinopathy damages retina due to diabetes mellitus which leads to blindness. Here, we have applied local binary pattern (LBP) in order to capture the spatial variations of the refractive indices due to progress of diabetic retinopathy among retinal tissues. After extraction of discriminative textures as binary numbers, state of art machine learning algorithms like decision tree and K-NN have been applied to get the optimum detection accuracy in multiclass classifications of in vivo diabetic retinopathy images. Here it is quite apparent that K-NN provides better accuracy and specificity than decision tree.

关键词： local binary patterns Diabetic Retinopathy Decision Tree K-NN

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 << < 4 5 6 7 8 9 10 11 12 13 > >>

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：