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

1,646 篇 会议
14 册 图书
11 篇 期刊文献

馆藏范围

1,671 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,182 篇 工学
- 901 篇 计算机科学与技术...
- 598 篇 软件工程
- 324 篇 光学工程
- 279 篇 信息与通信工程
- 258 篇 电气工程
- 174 篇 生物工程
- 153 篇 控制科学与工程
- 122 篇 机械工程
- 108 篇 生物医学工程（可授...
- 57 篇 电子科学与技术（可...
- 48 篇 化学工程与技术
- 48 篇 安全科学与工程
- 47 篇 材料科学与工程（可...
- 38 篇 仪器科学与技术
- 37 篇 交通运输工程
- 26 篇 建筑学
- 25 篇 土木工程
556 篇 理学
- 352 篇 物理学
- 200 篇 数学
- 176 篇 生物学
- 63 篇 化学
- 57 篇 统计学（可授理学、...
213 篇 医学
- 202 篇 临床医学
- 61 篇 基础医学(可授医学...
- 45 篇 药学(可授医学、理...
- 24 篇 公共卫生与预防医...
175 篇 管理学
- 97 篇 管理科学与工程(可...
- 80 篇 图书情报与档案管...
- 31 篇 工商管理
28 篇 农学
- 28 篇 作物学
19 篇 法学
17 篇 经济学
8 篇 教育学
5 篇 军事学
1 篇 文学

主题

307 篇 computer vision
228 篇 image processing
105 篇 image segmentati...
92 篇 feature extracti...
76 篇 deep learning
50 篇 object detection
42 篇 cameras
39 篇 image edge detec...
37 篇 convolutional ne...
34 篇 visualization
34 篇 image recognitio...
32 篇 machine learning
32 篇 image reconstruc...
31 篇 neural networks
30 篇 image color anal...
28 篇 computational mo...
28 篇 shape
28 篇 training
26 篇 image analysis
25 篇 image enhancemen...

机构

6 篇 university of ch...
5 篇 comput & inf sci...
5 篇 department of co...
4 篇 chitkara univers...
4 篇 image processing...
4 篇 beijing institut...
4 篇 college of compu...
3 篇 shanghai jiao to...
3 篇 dept of electr &...
3 篇 south china univ...
3 篇 inria sophia-ant...
3 篇 school of comput...
3 篇 department of ma...
3 篇 shenyang institu...
3 篇 department of co...
3 篇 school of electr...
3 篇 school of comput...
3 篇 college of compu...
3 篇 dept of control ...
3 篇 department of in...

作者

6 篇 andayani u.
5 篇 syahputra m.f.
5 篇 mohana
5 篇 siregar b.
4 篇 yang yang
4 篇 wang wei
4 篇 hassan ghassemia...
4 篇 li hui
4 篇 shohreh kasaei
4 篇 e.j. delp
3 篇 luo haibo
3 篇 paul joseph sure...
3 篇 wang qian
3 篇 ying liu
3 篇 maryam imani
3 篇 saurav sumeet
3 篇 weickert joachim
3 篇 muchtar m.a.
3 篇 xin wang
3 篇 aggarwal j.k.

语言

1,500 篇 英文
165 篇 其他
13 篇 中文
1 篇 土耳其文

检索条件"任意字段=3rd International Conference on Computer Vision and Image Processing, CVIP 2018"

共 1671 条记录，以下是1001-1010 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：

Research on image Preprocessing of Silkworm Cocoon Based on Machine vision

Research on Image Preprocessing of Silkworm Cocoon Based on ...

引用

international conference on Mechanical, Control and computer Engineering (ICMCCE)

作者： Han Zheng

In the past few years, silkworm cocoon image detection has been artificially degenerated, and it is the focus of recent years for how to use mechanized large-scale detection of cocoon mass. In the research, machine vision, as a detection method, is applied in silkworm cocoon detection; and the acquired silk cocoon image is processed and analyzed through the methods of binarization, machine vision, and LabVIEW. The effective identification of defective cocoons and the effective identification of cocoons and normal cocoons can be realized.

关键词： Machine vision Software Testing Gray-scale Inspection Manuals

来源：评论

学校读者我要写书评

暂无评论

Detection of leukemia in human blood samples through image processing 3rd

Detection of leukemia in human blood samples through image p...

引用

3rd international conference on Next Generation Computing Technologies, NGCT 2017

作者： Choudhary, Ravi Raj Sharma, Savita Meena, Gaurav Central University of Rajasthan Rajasthan305817 India

ISBN: (纸本)9789811086595

This paper proposed a automated approach for leukemia detection in human blood samples. In this fast growing technology, the method of manual counting of WBCs under a microscope affords a time-consuming and its accuracy depends on the skill of the person. This paper proposed an image processing technique for the detection of leukemia in a human blood sample. Proposed work overcome the problem of k-means clustering and thresholding method by using the image enhancement techniques and some arithmetic operation for the segmentation of nucleus from the white blood cells. Segmentation based on LAB color space (luminosity, chromaticity layer a and chromaticity layer b) color space will be used in order to eliminate the white blood cells (WBC) from the background. The segmented image is used to calculate the shape based feature of the nucleus of the WBCs. K-NN classifier has been utilized to classify blast cells from normal lymphocyte cells. The system is applied to 108 images available in public image dataset for the study of leukemia. © Springer Nature Singapore Pte Ltd. 2018.

关键词： Cells

来源：评论

学校读者我要写书评

暂无评论

Review of Programming and Performance Optimization on CPU-MIC Heterogeneous System

Review of Programming and Performance Optimization on CPU-MI...

引用

international conference on image, vision and Computing (ICIVC)

作者： Cheng Chen Fujun Yang Fang Wang Liang Deng Dan Zhao Computational Aerodynamics Institute China Aerodynamics Research and Development Center Mianyang Sichuan China

ISBN: (纸本)9781538649923

Heterogeneous architectures are widely adopted in high performance computing. The MIC (Many Integrated Cores) processor, unveiled by Intel, has been widely used and draws attention by simplifying heterogeneous programming and improving performance. In this paper, we first introduce the architecture and executing models of MIC. Then we discuss programming and performance optimization on MIC system. Finally, some open issues and future directions in the heterogeneous system are discussed.

关键词： Microwave integrated circuits Programming computer architecture Computational modeling Optimization Task analysis Central processing Unit

来源：评论

学校读者我要写书评

暂无评论

3D Orientation and Object Classification from Partial Model Point Cloud based on PointNet 3

3D Orientation and Object Classification from Partial Model ...

引用

3rd IEEE international conference on image processing, Applications and Systems, IPAS 2018

作者： Nguyen, Tuan Anh Lee, Sukhan Intelligent System Research Institute Electrical and Computer Engineering Sungkyunkwan University Suwon2066 Korea Republic of

ISBN: (纸本)9781728102474

In this paper, we propose a deep network based on PointNet to estimate the orientations and predict the object classes of 3D oriented objects using their partial model point clouds. More specific, our network exploits the advantages of PointNet to extract the global features of two kinds of point cloud: 1) 3D partial model orientation point cloud which is a part of a 3D object in an observed orientation and 2) full object model point cloud of the 3D object in the reference orientation which is referred to specify the orientations. We then associate the partial model point cloud global features with the corresponding reference global features by an association subnetwork, in which the association network takes the partial model global features as the input and output the corresponding reference feature reconstruction. We use this global feature reconstruction as aligned global features to infer the object classes of the partial model point cloud. To predict the orientation of an oriented point cloud from its partial model point cloud, we use the concatenation of partial model global features and the reference feature reconstruction as an optimal orientation features for network learning with orientation targets. Using the orientation dataset with partial model point clouds based on 3D ModelNet, our experiments have shown the better object classification performance comparing to the vanilla PointNet and the robustness of our proposed network in orientation estimation. © 2018 IEEE.

关键词： Classification (of information)

来源：评论

学校读者我要写书评

暂无评论

A Novel image Enhancement Method Based on Variational Retinex Approach 3

A Novel Image Enhancement Method Based on Variational Retine...

引用

2018 3rd international conference on Insulating Materials, Material Application and Electrical Engineering, IMMAEE 2018

作者： Hu, Jiaqing Gao, Hua Zhang, Zhaosheng Lin, Guoxi Wang, Hongyue Liu, Weijie Zhejiang Jieshang Vision Technology Co. Ltd 998 Wenyi West Road Yuhang District Hangzhou City311121 China College of Computer Science Zhejiang University of Technology 288 Liuhe Road West-Lake-District-Hangzhou-City310023 China Collaborative Innovation Center for Economics Crime Investigation and Prevention Technology Jiangxi Province China

Existing image enhancement methods, such as Retinex, only consider the spatial smoothness of the illumination image when dealing with low-contrast images in dark scenes, resulting in noise amplification and halation. In this paper, a novel image enhancement method based on variational framework is proposed, which effectively combines the advantages of MSRCR and variational approach. The method controls the selection of parameters under the variational framework by setting the brightness threshold of the image to ensure that the separated reflection image contain more detailed information. The illumination image is stretched by an adaptive contrast stretching method, and finally the reflected image is multiplied by the stretched illumination image to obtain the final enhanced image. Experiments on the images of night scenes show that our proposed algorithm effectively solves the halo phenomenon, reduces the noise and ensures the naturalness while enhancing the contrast. © 2018 Published under licence by IOP Publishing Ltd.

关键词： image enhancement

来源：评论

学校读者我要写书评

暂无评论

Using Color Converting to Hide image Information 13th

Using Color Converting to Hide Image Information

引用

13th international conference on Intelligent Information Hiding and Multimedia Signal processing (IIH-MSP)

作者： Fang, Wen-Pinn Huang, Yu-Feng Li, Lu-Hsuan Pan, Yan-Ru Yuan Ze Univ 135 Yuandong Rd Taoyuan 320 Taiwan

ISBN: (纸本)9783319638560;9783319638553

Recently, it is very popular to convert image or video to different format. For example, copy a color printed paper to gray scale paper or show video with different devices. This paper proposes a fast removable watermark generating method. The watermark disappears after the watermarked image converts to another format. As a gray image can be generated from different color images with same converting approach, the goal of this paper has been achieved. An example shows that it is possible to create recoverable contour style watermark by control hue and saturation properly. A vision quality optimum approach also presented. The advantages of proposed method includes the recover image is identical to the converted image without watermark, people can remove the watermark without computer or the computational cost is very low. The result of this paper is useful for secret removing or demo video transmitting.

关键词： Lossless recovery Watermark Fragile Color model Color converting

来源：评论

学校读者我要写书评

暂无评论

Unfeatured Weld Positioning Technology Based on Neural Network and Machine vision

Unfeatured Weld Positioning Technology Based on Neural Netwo...

引用

international conference on image, vision and Computing (ICIVC)

作者： Chengtao Cai Boyu Wang Yue Liu Yongjie Yan College of Automation Harbin Engineering University Harbin China State Key Laboratory of Air Traffic Management System and Technology Nanjing China

ISBN: (纸本)9781538649923

In machine vision, image processing technology is the basis of target recognition and positioning. When the background of the image is complex, especially when the background feature is similar to the target feature, the accuracy of the target recognition by traditional image processing methods cannot be guaranteed. In this paper, based on the background of automatic welding technology, proposing a new method of combining the neural networks and machine vision. Specifically, the image is preprocessed by using an improved convolutional auto-encoder to enhance the target features and remove the characteristics of the main interferers. Then, use the improved traditional image processing technology to extract the target and complete the processing of the featureless image. Finally, use a binocular camera to achieve accurate positioning of the target. This paper provides a new idea for the identification and positioning of the target.

关键词： Feature extraction Convolution Welding Laser beams Filtering Cameras

来源：评论

学校读者我要写书评

暂无评论

Content based medical image retrieval system (CBMIRS) to diagnose hepatobiliary images 3rd

Content based medical image retrieval system (CBMIRS) to dia...

引用

3rd international conference on Next Generation Computing Technologies, NGCT 2017

作者： Kumar, Manoj Singh, Kh. Manglem Department of ECE NIT Manipur Imphal India Department of CSE NIT Manipur Imphal India

ISBN: (纸本)9789811086595

This paper presents retrieval of hepatobiliary images based on content-based medical image retrieval techniques. Hepatobiliary images are related to hepatobiliary diseases. Hepatobiliary diseases include a group of diseases related to liver and biliary system. Different types of databases are constructed for storing hepatobiliary images. For feature extraction sift (scale invariant feature transform), Hu-moments and GLCM methods are used. Features extracted by these methods are combining to form a single feature vector. Feature extracted by query images and images which are stored in the database are compared using Euclidean distance method. Based on minimum distance images are retrieved. For performance measurement precision, recall and error rate are measured. © Springer Nature Singapore Pte Ltd. 2018.

关键词： Query processing

来源：评论

学校读者我要写书评

暂无评论

Sign Language Numeral Gestures Recognition Using Convolutional Neural Network 1

引用

3rd international conference on Interactive Collaborative Robotics (ICR)

作者： Gruber, Ivan Ryumin, Dmitry Hruz, Marek Karpov, Alexey UWB Dept Cybernet Fac Appl Sci Plzen Czech Republic UWB Fac Appl Sci NTIS Plzen Czech Republic SPIIRAS St Petersburg Russia

ISBN: (数字)9783319995823

ISBN: (纸本)9783319995823;9783319995816

This paper presents usage of convolutional neural network for classification of sign language numeral gestures. For requirements of this research, we created a new dataset of these gestures. The dataset was recorded via Kinect v2 device and it consists of recordings of 18 different people. Only depth data-stream was used in our research. For a classification task, there was utilized classic VGG16 architecture and its results were compared with chosen baseline method and other tested architectures. Our experiment on classification showed the great potential of neural networks for this task. We reached recognition accuracy 86.45%, which is by more than 34% better result than chosen baseline method.

关键词： Sign language image recognition Classification Neural network Assistive robot computer vision

来源：评论

学校读者我要写书评

暂无评论

Towards Better Soft-Tissue Segmentation Based on Gestalt Psychology

Towards Better Soft-Tissue Segmentation Based on Gestalt Psy...

引用

international conference on image, vision and Computing (ICIVC)

作者： Qirong Bo Jun Feng Pan Li Zhaohui Lv Jing Zhang Institute of information science and technology Northwest University Xi'an China Computer Science Department Lamar University Beaumont TX U.S.A

ISBN: (纸本)9781538649923

According to gestalt psychology theory, the human brain merges and simplifies unrelated units by some relations through eyes for subsequent cognition. We introduce a new segmentation framework based on gestalt psychology in this paper. An input image is first divided into visual patches using two gestalt principles, similarity and proximity, by a clustering method, and then the visual patches are grouped to form soft tissues by a classification step using the spatial relationship and texture features. We evaluated the proposed method using TCIA database at both sectional level and volumetric level. The experimental results demonstrated the efficiency and robustness of the presented method and indicated its promising applications in the field of medical image processing.

关键词： Visualization image segmentation Biological tissues Feature extraction Computed tomography Biomedical imaging Kidney

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168页 << < 97 98 99 100 101 102 103 104 105 106 > >>

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：