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

24,714 篇 会议
3,041 篇 期刊文献

馆藏范围

27,755 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

7,354 篇 工学
- 3,989 篇 电气工程
- 3,274 篇 计算机科学与技术...
- 1,353 篇 信息与通信工程
- 961 篇 机械工程
- 938 篇 控制科学与工程
- 792 篇 仪器科学与技术
- 524 篇 测绘科学与技术
- 501 篇 软件工程
- 331 篇 电子科学与技术（可...
- 183 篇 生物医学工程（可授...
- 153 篇 交通运输工程
- 72 篇 环境科学与工程（可...
- 69 篇 土木工程
- 67 篇 核科学与技术
- 66 篇 生物工程
- 57 篇 航空宇航科学与技...
- 48 篇 光学工程
1,127 篇 理学
- 346 篇 地球物理学
- 301 篇 系统科学
- 243 篇 物理学
- 101 篇 地理学
- 64 篇 数学
- 62 篇 生物学
816 篇 医学
- 748 篇 临床医学
- 82 篇 特种医学
389 篇 管理学
- 381 篇 管理科学与工程(可...
128 篇 农学
- 68 篇 农业资源与环境
- 55 篇 作物学
72 篇 艺术学
- 72 篇 设计学（可授艺术学...
71 篇 文学
- 70 篇 新闻传播学
17 篇 军事学
6 篇 教育学
5 篇 经济学
3 篇 法学

主题

27,755 篇 image edge detec...
5,887 篇 image segmentati...
5,001 篇 feature extracti...
2,603 篇 detectors
2,481 篇 image color anal...
2,421 篇 cameras
2,352 篇 shape
2,220 篇 pixel
1,612 篇 computer vision
1,595 篇 training
1,579 篇 object detection
1,473 篇 robustness
1,434 篇 accuracy
1,390 篇 histograms
1,384 篇 image processing
1,349 篇 computational mo...
1,345 篇 visualization
1,344 篇 data mining
1,269 篇 image reconstruc...
1,207 篇 noise

机构

38 篇 school of electr...
36 篇 school of comput...
35 篇 school of comput...
32 篇 institute for in...
31 篇 university of ch...
30 篇 univ chinese aca...
25 篇 tsinghua univers...
22 篇 university of sc...
22 篇 nanyang technol ...
21 篇 hunan univ coll ...
21 篇 microsoft resear...
21 篇 nanyang technolo...
19 篇 school of automa...
17 篇 harbin inst tech...
16 篇 department of el...
16 篇 nanjing univ sta...
16 篇 institute for ro...
15 篇 school of inform...
14 篇 university of el...
14 篇 robotics institu...

作者

25 篇 wei li
20 篇 jing zhang
20 篇 wei liu
19 篇 lei wang
19 篇 jun sun
19 篇 yang yang
18 篇 jiang liu
18 篇 sos agaian
17 篇 sonya coleman
17 篇 umapada pal
16 篇 liu yang
16 篇 bryan scotney
16 篇 chew lim tan
15 篇 jian wang
15 篇 wilfried philips
15 篇 li yang
14 篇 patricia melin
14 篇 jun wang
14 篇 j. kittler
14 篇 jae wook jeon

语言

27,593 篇 英文
105 篇 其他
54 篇 中文
1 篇 西班牙文
1 篇 法文
1 篇 土耳其文

检索条件"主题词=Image Edge Detection"

共 27755 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：

Research on image edge detection based on wavelet transform algorithm

Research on image edge detection based on wavelet transform ...

引用

International Conference on Test and Measurement (ICTM)

作者： Chenggang Zhen Yingmei Su Network Administration Center North China Electric Power University Baoding China College of Computer Science and Technology North China Electric Power University Baoding China

ISBN: (纸本)9781424446995

image edge detection has always been a hot research in the field of image processing. This article describes several classical detection algorithms and wavelet transform algorithm, analysis and compares the experimental *** results show that the wavelet transform algorithm can effectively detect the image edge, superior to the traditional edge detection algorithm.

关键词： image edge detection Wavelet transforms Wavelet analysis Laplace equations Testing image analysis Algorithm design and analysis image processing Convolution Filtering

来源：评论

学校读者我要写书评

暂无评论

Study of human face image edge detection based on DM642

Study of human face image edge detection based on DM642

引用

International Conference on Computer Science and Information Technology (CSIT)

作者： Jinqing Liu Yusheng Huang School of Physics and Optoelectronics Technology Fujian Normal University Fuzhou China

edge detection of human face is one of the important bases in human face detection and recognition. This article firstly summarizes the basic methods of edge detection and the basis of Sobel operator and Canny operator, then, from a practical perspective, puts forward an novel method that is based on the integration of improved Sobel operator and Canny operator, moreover its results are thinned lastly via the method of Improved OPTA. All of that above is implemented on TMS320 DM642EVM, using design Reference Framework 5 with high expansibility to design Application Program implemented by C and assembler mixed language, and afterward doing optimization according to the characteristics of DSP chip for the real-time purpose. The results testify that this approach is not only good at eliminating noise, but also can detect the edge quickly and completely, so it has well practical significance. All of that is a foregoing preparation for the achievement of the system of human face detection in application.

关键词： image edge detection Radio frequency Gray-scale

来源：评论

学校读者我要写书评

暂无评论

Genetic algorithm for weld image edge detection

Genetic algorithm for weld image edge detection

引用

International Conference on Computer Application and System Modeling (ICCASM)

作者： Zhang Jing Yan-xia Jin Key Laboratory of Instrumentation Science & Dynamic Measurement Ministry of Education North University of China Taiyuan China Electronic and Computer Science and Technology North University of China Taiyuan China

A new method for detect image's edge in gradient operators is proposed in this paper. The method combines the gradient operators with genetic algorithm and can be used to edge extraction effectively in weld image.... 详细信息

关键词： Welding image edge detection Genetics detection algorithms Noise Heuristic algorithms Pixel

来源：评论

学校读者我要写书评

暂无评论

An Improved Method for image edge detection Based on GM(1,1) Model

An Improved Method for Image Edge Detection Based on GM(1,1)...

引用

International Conference on Artificial Intelligence and Computational Intelligence (AICI)

作者： Jianxin Zhang Lang Wu College of Mechanical Engineering and Automation Zhejiang Science and Technology University Hangzhou China

The GM(1,1) model usually uses the first component of the first order accumulated generating operation(AGO) sequence X(1) as the initial condition to model in the research and application of image edge detection. This model has the disadvantage of being unable to completely utilize the latest information. Also it can't detect out all edge points because it detects the image only on two directions of horizontal and vertical. So in this paper, an improved GM(1,1) model is proposed for edge detection. It uses the last component of sequence X(1) as the initial condition of GM(1,1) model and predicts the pixel value on eight directions. Then the predicted image is subtracted by the original image to find out the position points with hopping grey values, which are edge points. Experimental results show that this algorithm can effectively detect out a complete image edge.

关键词： image edge detection Predictive models image processing Data mining Pixel Artificial intelligence Computational intelligence Educational institutions Mechanical engineering Automation

来源：评论

学校读者我要写书评

暂无评论

GSAED a new aproach for digital image edge detection

GSAED a new aproach for digital image edge detection

引用

International Symposium on Telecommunications, IST

作者： Fatemeh Deregeh Hossein Nezamabadi-pour Department of Electrical Engineering Shahid Bahonar University of Kerman Kerman Iran

In this paper, a new algorithm for image edge detection using Gravitational Search Algorithm (GSA) is proposed. In order to adapt the proposed algorithm to edge detection problem, some modification is applied on the original GSA. Each image pixel is considered as a celestial body and its mass is considered to be corresponding to the pixel's grayscale intensity. To find out the edgy pixels a number of agents are randomly generated and initialized through the image space. Artificial agents move through the space via forces of bodies that are located in their neighborhood. A large number of experiments are employed to determine suitable algorithm parameters and confirm the legitimacy of the proposed algorithm.

关键词： image edge detection Detectors Neural networks Algorithm design and analysis Heuristic algorithms Classification algorithms Gravity

来源：评论

学校读者我要写书评

暂无评论

An Adaptive Algorithm for Grey image edge detection Based on Grey Correlation Analysis

An Adaptive Algorithm for Grey Image Edge Detection Based on...

引用

International Conference on Computational Intelligence and Security

作者： Baoming Qiao Liu Jin Yufan Yang Coll. of Sci. Xi'an University of Science and Technology Xi'an Shaanxi CN

ISBN: (纸本)9781509048410

In the original algorithm for grey correlation analysis, the detected edge is comparatively rough and the thresholds need determining in advance. Thus, an adaptive edge detection method based on grey correlation analysis is proposed, in which the basic principle of the original algorithm for grey correlation analysis is used to get adaptively automatic threshold according to the mean value of the 3×3 area pixels around the detecting pixel and the property of people's vision. Because the false edge that the proposed algorithm detected is relatively large, the proposed algorithm is enhanced by dealing with the eight neighboring pixels around the edge pixel, which is merged to get the final edge map. The experimental results show that the algorithm can get more complete edge map with better continuity by comparing with the traditional edge detection algorithms.

关键词： image edge detection Correlation Algorithm design and analysis Detectors Mathematical model Differential equations Analytical models

来源：评论

学校读者我要写书评

暂无评论

A contextual-based Hopfield neural network for medical image edge detection

A contextual-based Hopfield neural network for medical image...

引用

IEEE International Conference on Multimedia and Expo (ICME)

作者： Chuan-Yu Chang Department of Electronic Engineering National Yunlin University of Science and Technology Yunlin Taiwan

In this paper, the special design of a Hopfield neural network, called contextual Hopfield neural network (CHNN), is presented for finding the edges of CT and MRI images. Different from conventional 2D Hopfield neural networks, the CHNN maps the 2D Hopfield network at the original image plane. With this direct mapping, the network is capable of incorporating pixel contextual information into a pixel's labeling procedure. As a result, the effect of tiny details or noises will be effectively removed by the CHNN and the drawback of disconnected fractions can be overcome. Furthermore, the problem of satisfying strong constraints can be alleviated and results in a fast converge. Our experimental results show that the CHNN can obtain more appropriate, more continued edge points than Laplacian-based, Marr-Hildreth's, Canny's, and wavelet-based methods

关键词： Hopfield neural networks Biomedical imaging image edge detection Neurons Neural networks Pixel Computed tomography Biomedical engineering Design engineering Electronic mail

来源：评论

学校读者我要写书评

暂无评论

Research on digital image edge detection with local entropy and fuzzy entropy algorithms

Research on digital image edge detection with local entropy ...

引用

International Conference on Information and Automation (ICIA)

作者： Ming Zhao Xiulan Ye Ke Han Yun Li Department of Computer Science and Technology Harbin University of Commerce Harbin China Beijing Navy 701 Factory Beijing China

A local entropy algorithm and a fuzzy entropy algorithm for image edge detection are proposed respectively in this paper. The precise quantitative relationship between the entropy and the amount of information is utilized in the local entropy algorithm. Because the local window has the filtering characteristics and information extraction characteristics, thus it can be used to process the image with the additive noise without pre-filtering. The fuzzy entropy algorithm gives full consideration to the direction characteristics and the structural characteristics of the edge pixels. Because the gray distribution of neighborhood is orderly and directional, and the gray mutation is structural. Some features are constructed based on fuzzy entropy and then used to detect the image edge. The results of the fuzzy entropy algorithm are compared with that of the local entropy algorithm and other traditional algorithm by adding different noises. The experimental results to various types of images verify the effectiveness of the proposed algorithms and their wide applications.

关键词： Entropy Digital images image edge detection image segmentation Partitioning algorithms Target tracking Filtering Data mining Histograms Manufacturing automation

来源：评论

学校读者我要写书评

暂无评论

A Specialized Architecture for Color image edge detection Based on Clifford Algebra

A Specialized Architecture for Color Image Edge Detection Ba...

引用

International Conference on Complex, Intelligent and Software Intensive Systems, CISIS

作者： Silvia Franchini Antonio Gentile Giorgio Vassallo Filippo Sorbello Salvatore Vitabile Computer Science and Artificial Intelligence Laboratory DICGIM Department University of Palermo Palermo Italy Department of Biopathology Medical and Forensic Biotechnologies (DIBIMEF) University of Palermo Palermo Italy

ISBN: (纸本)9781479905478

edge detection of color images is usually performed by applying the traditional techniques for gray-scale images to the three color channels separately. However, human visual perception does not differentiate colors and processes the image as a whole. Recently, new methods have been proposed that treat RGB color triples as vectors and color images as vector fields. In these approaches, edge detection is obtained extending the classical pattern matching and convolution techniques to vector fields. This paper proposes a hardware implementation of an edge detection method for color images that exploits the definition of geometric product of vectors given in the Clifford algebra framework to extend the convolution operator and the Fourier transform to vector fields. The proposed architecture has been prototyped on the Celoxica RC203E Field Programmable Gate Array (FPGA) board. Experimental tests on the FPGA prototype show that the proposed hardware architecture allows for an average speedup ranging between 6x and 18x for different image sizes against the execution on a conventional general-purpose processor. Clifford algebra based edge detector can be exploited to process not only color images but also multispectral gray-scale images. The proposed hardware architecture has been successfully used for feature extraction of multispectral magnetic resonance (MR) images.

关键词： image edge detection Vectors image color analysis Fourier transforms Convolution Detectors

来源：评论

学校读者我要写书评

暂无评论

An Algorithm for Remote Sensing image edge detection Based on Fuzzy Sets

An Algorithm for Remote Sensing Image Edge Detection Based o...

引用

International Symposium on Intelligent Information Technology Application, IITA

作者： Gang Li Fan Yang Linlin Wang Coll. of Autom. Chongqing Univ. Chongqing Coll. of Comput. Sci.&Tech. Chongqing Univ. of Post & Tele. Chongqing

This paper introduces a new algorithm for remote sensing image edge detection based on fuzzy *** of the complexity, the highly consistency of edges and the evidence of noise in remote sensing image, this algorithm links the mathematical morphology, the method of slipping window and fuzzy enhancing to extract the information of edges. At the beginning of the process in the proposed algorithm, the edges in the slipping windows are enhanced by using the method of fuzzy *** the slipping window traverses the whole ***, it detects the edges of remote sensing image by mathematical morphology operators. The simulations in this paper prove that this algorithm which contains many advantages of some kinds of methods not only is able to solve the problem by using single method, but also can elevate the edges and keep the image sharp at the same time.

关键词： Remote sensing image edge detection Fuzzy sets Morphology Educational institutions image processing Object detection Information technology Application software Automation

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500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：