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151-160 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：

Optimal Design of image edge detection Algorithm Based on Mathematical Morphology Analysis

Optimal Design of Image Edge Detection Algorithm Based on Ma...

引用

Telecommunications, Electronics and Informatics (ICTEI), International Conference on

作者： Xiangnan Fu School of Science Changchun Institute of Technology Changchun Jilin China

ISBN: (数字)9798350342963

ISBN: (纸本)9798350342970

As an important technology of digital image processing, ED (edge detection) has always been a research hotspot in the field of computer vision and image processing. Several commonly used ED methods mostly determine whether a pixel is located on the boundary of an object by detecting the state of each pixel and its neighborhood. Although these methods are simple and sensitive to noise, the edges will be broken. In this paper, an ED algorithm based on mathematical morphology is proposed. By studying the multi-scale ED algorithm of various structural elements and morphological operation combinations, an algorithm with good noise filtering performance and accurate image edge positioning is designed. The research results show that the optimized algorithm is obviously superior to other algorithms, and the detected edges are clear and rich. The weighted adaptive morphological ED algorithm based on multi-scale and multi-structure constructed in this paper is robust to noise and blurred images, so that these thin edges and other obvious edges can be retained after the images are blurred or disturbed by noise. This achievement has positive significance for image processing.

关键词： Accuracy Filtering image edge detection Roads Noise Morphology Mathematics

来源：评论

学校读者我要写书评

暂无评论

Hardware implementation of an optimized processor architecture for SOBEL image edge detection operator

Hardware implementation of an optimized processor architectu...

引用

International Conference on Intelligent and Advanced Systems, ICIAS

作者： Zahraa Elhassan M. Osman Fawnizu Azmadi Hussin Noohul Basheer Zain Ali Electrical and Electronic Engineering Department Universiti Teknologi Petronas Bandar Seri Iskandar Tronoh Perak Malaysia

This paper presents an implementation of a dedicated processor for image edge detection on field programmable gate arrays (FPGAs). The processor architecture is originally a Sobel based edge detection filter optimized to minimize memory utilization, redundant calculations and hence, overall logic resources used to implement the processor on FPGA. The optimization is achieved by exploiting the FPGAs' high parallelism, flexibility and I/O bandwidth. Results show that our optimized processor architecture uses 22% less Adaptive Lookup Tables (ALUTs) 40% less dedicated logic registers and 10% overall logic resources utilization reduction over basic architecture in [1] when implemented on Stratix II EP2S60. The optimization makes the processor feasible to be used for applications like embedded video processing.

关键词： image edge detection Computer architecture Field programmable gate arrays Pixel Optimization Random access memory

来源：评论

学校读者我要写书评

暂无评论

Noisy image edge detection Using an Uninorm Fuzzy Morphological Gradient

Noisy Image Edge Detection Using an Uninorm Fuzzy Morphologi...

引用

International Conference on Intelligent Systems Design and Applications (ISDA)

作者： Manuel González-Hidalgo Arnau Mir Torres Joan Torrens Sastre Computer Graphics and Vision Group Maths and Computer Science Department University of Balearic Islands Spain Fuzzy Logic and Information Fusion Group Maths and Computer Science Department University of Balearic Islands Spain

Medical images edge detection is one of the most important pre-processing steps in medical image segmentation and 3D reconstruction. In this paper, an edge detection algorithm using an uninorm-based fuzzy morphology is proposed. It is shown that this algorithm is robust when it is applied to different types of noisy images. It improves the results of other well-known algorithms including classical algorithms of edge detection, as well as fuzzy-morphology based ones using the ¿ukasiewicz t-norm and umbra approach. It detects detailed edge features and thin edges of medical images corrupted by impulse or gaussian noise. Moreover, some different objective measures have been used to evaluate the filtered results obtaining for our approach better values than for other approaches.

关键词： image edge detection Morphology Biomedical imaging Fuzzy sets Gray-scale Computer vision Noise reduction image processing Application software Computer science

来源：评论

学校读者我要写书评

暂无评论

Statistical pattern recognition for real-time image edge detection on FPGA

Statistical pattern recognition for real-time image edge det...

引用

International Conference on Signal Processing Proceedings (ICSP)

作者： Ziyan Liu Jia Qi Liang Feng Li Feng College of Electronics and Information Guizhou University Guiyang China State Grid Chongqing Electric Power Company Chongqing China

ISBN: (纸本)9781479921898

image edge detection is a fundamental process in computer vision. image edges represent the major fraction of information in an image. Traditional edge-detection techniques focus on the gradient calculation method. In this paper, for the first time, the statistical pattern recognition method is used to detect the edge after the real-time image was processed via the median filtering method and implemented on FPGA. In comparison to the Sobel algorithm, the proposed method has superior anti-noise capability.

关键词： image edge detection Pattern recognition Field programmable gate arrays Filtering Real-time systems Hardware Feature extraction

来源：评论

学校读者我要写书评

暂无评论

A soft image edge detection approach based on the time matrix of a PCNN

A soft image edge detection approach based on the time matri...

引用

International Joint Conference on Neural Networks (IJCNN)

作者： Mario I. Chacon M. Claudia Prieto R. R. Sandoval R. Alejandro Rodriguez R. DSP & Vision Laboratory and the Robotic Lab at the Chihuahua Institute of Technology Mexico Instituto Tecnologico y de Estudios Superiores de Monterrey Monterrey MX

image segmentation has attracted the attention of researcher for many decades. Different approaches have been developed in order to find the solution in many different segmentation situations. In this paper we propose a novel edge detection approach aimed to generate useful information to achieve segmentation. The proposed method is based on analysis of the information provided by the time matrix generated from a pulse coupled neural network, PCNN. This information represents gray level differences among the pixel images. Two different schemes for edge detection are presented. The first scheme is developed to generate edges from coarse images and the second one to deal with more detailed edges. Similarity of this method with a previous developed method based on fuzzy edge level detection is also covered in the paper. Final results show that the proposed method may be used as a new alternative to define image edges of different levels for further analysis.

关键词： image edge detection Artificial neural networks Joints

来源：评论

学校读者我要写书评

暂无评论

Interval type-2 fuzzy logic for image edge detection quality evaluation

Interval type-2 fuzzy logic for image edge detection quality...

引用

Conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： Felicitas Perez-Ornelas Olivia Mendoza Patricia Melin Juan R. Castro University of Baja California Tijuana Mexico Tijuana Institute of Technology Tijuana Mexico

Recently there have been different methods to evaluate the edge detection of an image; most of them measure the similarity with respect to a reference image. In this paper we show the design and tests of a new method for edge detectors evaluation consisting of an interval type-2 fuzzy inference system, which inputs correspond to a combination of parameters that represent the most influential characteristics of an edge image according on previous experience. Each of these selected parameters was selected from existing methods for evaluation of edge detection. This new method is able to evaluate any edge detection process, including the traditional and fuzzy methods, but it was applied in synthetic images because of the need of an edge reference image for the input parameters calculation.

关键词： image edge detection Measurement Indexes Fuzzy systems Fuzzy logic Detectors Educational institutions

来源：评论

学校读者我要写书评

暂无评论

Detail enhancement and noise reduction with true color image edge detection based on wavelet multi-scale

Detail enhancement and noise reduction with true color image...

引用

International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC)

作者： Feng Xiao Mingquan Zhou Guohua Geng School of Computer Science and Engineering Xi''an Technological University Xi'an China Institute of Visualization Technology Northwest University Xi'an China School of Information Science and Technology Beijing Normal University Beijing China

To the problem of the existing multi-scale edge detection methods couldn't tackle de-noising and edge detail preservation of images, the article proposed a multi-scale edge detection algorithm which took soft threshold method to implement detail enhancement and noise reduction of the true color image. Firstly, obtaining the true color images at different scales through wavelet multi-scale edge detection algorithm, then based on the improved soft threshold filter function, selecting appropriate threshold of the obtained image edges to perform noise reduction while enhance the edge details of the reservation; and finally, carrying out the weighted 2-norm fusion of edges of different-scale-image. Experiment results show that the algorithm can make full use of color and gradient information of true color images to effectively suppress noise, enhance the image edge details.

关键词： image edge detection Color Noise reduction Noise Algorithm design and analysis Smoothing methods image color analysis

来源：评论

学校读者我要写书评

暂无评论

A Color HSV image edge detection Method Based on Gradient Extreme Value

A Color HSV Image Edge Detection Method Based on Gradient Ex...

引用

International Symposium on Intelligent Information Technology Application, IITA

作者： Jing-xiu Zhao Ming-yan Liu Sch. of Comput. Sci. Qufu Normal Univ. Qufu

In order to be better for color image edge detection,this paper analyze the existing problems of gradient algorithm with HSV color image characteristics and the separation by color hue, saturation and brightness information and proposes a color image edge detection method based on gradient extreme value of the local region. The algorithm extracts the edge pixels directly in the local area boundary detection window, first calculate the distance of hue, saturation and brightness between two pixels and then take their sum as the final color distance. The experimental results indicate that this method could obtain more real edges with better continuity.

关键词： image edge detection image color analysis Humans Visual perception image analysis Brightness Euclidean distance Information technology Application software Computer science

来源：评论

学校读者我要写书评

暂无评论

Multi-scale Mathematical Morphology Based image edge detection

Multi-scale Mathematical Morphology Based Image Edge Detecti...

引用

International Conference on Intelligent System Design and Engineering Application (ISDEA)

作者： Tao Wang Na Wei

edge detection is one of the most challenging tasks in image processing. A scheme for edge detection of images based on multi-scale morphology is presented in this paper. Mathematical morphology is a mathematic tool to analyze the image based on the structuring element. The morphological edge detection operator is non-linear difference operator. The results due to the proposed method have been found reasonably satisfactory. It proves that a morphological operation with a scalable structuring element can extract features more exactly.

关键词： image edge detection Morphology Feature extraction Shape Noise Filtering theory

来源：评论

学校读者我要写书评

暂无评论

Comparison of Approaches of Distributed Satellite image edge detection on Hadoop

Comparison of Approaches of Distributed Satellite Image Edge...

引用

International Conference on Inventive Communication and Computational Technologies (ICICCT)

作者： Tapan Sharma Vinod Shokeen Sunil Mathur ASET Amity University Noida Uttar Pradesh India MAIT GGS Indraprastha University Delhi India

In the world of bigdata, Hadoop has become the major platform for storage and processing. Due to advancement in technology in the area of remote sensing, tremendous growth in data has been witnessed. In this paper, we have conducted experiments and compared two methods in which edge detection of satellite images is performed on Hadoop. Since, edge detection is one of the prime steps in the field of image processing and is being used for object detection in the image, we have targeted this basic algorithm of image processing for our experiments. In earlier research for edge detection on Hadoop, SequenceFiles were used to store and process images. In our experiments, we have leveraged distributed processing of Hadoop by logically splitting the file on HDFS and performing edge detection in distributed manner. The experiments were performed on Amazon AWS Elastic MapReduce (EMR) cluster using different satellite images varying from 10MB-200MB. The paper describes the comparison of the two approaches.

关键词： image edge detection Satellites Task analysis Distributed processing Conferences Clustering algorithms

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 << < 12 13 14 15 16 17 18 19 20 21 > >>

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：