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

67 篇 会议
52 篇 期刊文献
1 篇 学位论文

馆藏范围

120 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

108 篇 工学
- 64 篇 计算机科学与技术...
- 40 篇 电气工程
- 16 篇 信息与通信工程
- 13 篇 控制科学与工程
- 9 篇 机械工程
- 8 篇 软件工程
- 6 篇 仪器科学与技术
- 5 篇 材料科学与工程（可...
- 4 篇 生物医学工程（可授...
- 3 篇 电子科学与技术（可...
- 2 篇 力学（可授工学、理...
- 2 篇 测绘科学与技术
- 2 篇 交通运输工程
- 2 篇 环境科学与工程（可...
- 1 篇 石油与天然气工程
- 1 篇 船舶与海洋工程
21 篇 理学
- 8 篇 物理学
- 6 篇 统计学（可授理学、...
- 4 篇 数学
- 2 篇 地球物理学
- 2 篇 系统科学
- 1 篇 化学
- 1 篇 海洋科学
- 1 篇 生物学
15 篇 医学
- 11 篇 临床医学
- 3 篇 特种医学
7 篇 管理学
- 7 篇 管理科学与工程(可...
2 篇 农学
1 篇 经济学
- 1 篇 应用经济学
1 篇 法学
- 1 篇 法学
1 篇 教育学
- 1 篇 心理学(可授教育学...
1 篇 军事学

主题

120 篇 mean shift algor...
13 篇 object tracking
10 篇 image segmentati...
10 篇 kalman filter
6 篇 target tracking
5 篇 clustering
5 篇 bhattacharyya co...
5 篇 convergence
5 篇 kernel function
4 篇 color histogram
3 篇 face detection
3 篇 target model
3 篇 mode estimate se...
3 篇 tracking
3 篇 human tracking
3 篇 change detection
3 篇 visual tracking
3 篇 mode clustering
2 篇 probability dens...
2 篇 directional data

机构

3 篇 shanghai jiao to...
3 篇 queens univ dept...
3 篇 univ toronto dep...
2 篇 toronto rehabil ...
2 篇 shandong elect p...
2 篇 sidi mohamed ben...
2 篇 sidi mohamed ben...
1 篇 minist commun it...
1 篇 department of sc...
1 篇 mando corp cent ...
1 篇 kn toosi univ te...
1 篇 univ tecn lisboa...
1 篇 dwarkadas j sang...
1 篇 stanford univ sc...
1 篇 pukyong natl uni...
1 篇 univ coimbra dep...
1 篇 univ hassan 2 fa...
1 篇 department of st...
1 篇 univ washington ...
1 篇 saadat co r&d de...

作者

6 篇 ghassabeh younes...
3 篇 saaidi abderrahi...
3 篇 rudzicz frank
3 篇 laaroussi khadij...
3 篇 masrar mohamed
3 篇 liu wei
3 篇 satori khalid
2 篇 yu yixiao
2 篇 wen zhi-qiang
2 篇 chen hao
2 篇 chacon jose e.
2 篇 wang chengfu
2 篇 ekin ahmet
2 篇 wang ning
2 篇 yang ming
2 篇 niu yuanfang
1 篇 jiang tianyu
1 篇 padungweang pani...
1 篇 zhou lin
1 篇 wang lijia

语言

113 篇 英文
3 篇 其他
2 篇 中文
1 篇 法文
1 篇 土耳其文

检索条件"主题词=Mean Shift algorithm"

共 120 条记录，以下是91-100 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：

Moving Object Tracking using FPGA

Moving Object Tracking using FPGA

引用

International Conference on Intelligent Sustainable Systems (ICISS)

作者： Devipriya, M. Brindha, M. Natl Inst Technol Dept Comp Sci & Engn Tiruchirappalli India

In this work, a novel method to track the moving object is proposed using mean shift algorithm. FPGA is used to process the video. Many algorithms for detecting moving objects are proposed using image processing but i... 详细信息

ISBN: (纸本)9781538619599

关键词： mean shift algorithm Myrio object tracking

来源：评论

学校读者我要写书评

暂无评论

Flexible Wound Assessment System for Diabetic Patient using Android Smartphone 1

Flexible Wound Assessment System for Diabetic Patient using ...

引用

International Conference on Green Computing and Internet of Things (ICGCIoT)

作者： Bhelonde, Ashish Didolkar, Nikhil Jangale, Shubham Kulkarni, Nikhil L. Savitribai Phule Pune Univ SITRC Dept Comp Engn Nasik India Savitribai Phule Pune Univ SITRC Nasik India

ISBN: (纸本)9781467379106

Diabetic ulcers represent a significant health issue. Currently, clinicians and nurses mainly base their wound assessment on visual examination of wound size and healing status, while the patients themselves seldom have an opportunity to play an active role. Hence, a more quantitative and cost-effective examination method that enables the patients and their caregivers to take a more active role in daily wound care potentially can accelerate wound healing, save travel cost and reduce healthcare expenses. Considering the prevalence of smart-phones with a high-resolution digital camera, assessing wounds by analysing images of chronic ulcers is an attractive option. We propose a novel wound image analysis system implemented solely on the Android smart-phone. The wound image is captured by the camera on the smart-phone with the assistance of an android App. After that, the smart-phone performs wound segmentation by applying the accelerated mean-shift algorithm. Specifically, the outline of the affected body parts is determined based on skin color, and the wound boundary is found using a simple connected region detection method. Within the wound boundary, the healing status is next assessed based on Red-Yellow-Black color evaluation model. Moreover, the healing status is quantitatively assessed, based on trend analysis of time records for a given patient.

关键词： Patients with diabetes Android Smartphones Android App RGB color evaluation mean shift algorithm

来源：评论

学校读者我要写书评

暂无评论

Efficient Object Tracking using Local Tetra Pattern Based Texture Feature

Efficient Object Tracking using Local Tetra Pattern Based Te...

引用

IEEE International Conference on Computer Graphics, Vision and Information Security (CGVIS)

作者： Dash, Prajna Parimita Patra, Dipti Birla Inst Technol Dept Elect & Commun Engn Ranchi Jharkhand India Natl Inst Technol Dept Elect Engn IPCV Lab Rourkela Odisha India

ISBN: (纸本)9781467374378

This paper addresses an efficient mean shift object tracking algorithm, by employing the joint color-texture histogram for object representation, and the mean shift algorithm for object tracking. The textural information of the object is extracted by using the four directional code called the local tetra pattern. The Ohta color model has been used for extracting color information. The local tetra pattern has the ability of extracting more detailed information as compared to other patterns such as Local Binary Pattern (LBP) or Local Ternary Pattern (LTP). The combination of the local tetra pattern-based texture information and Ohta color information makes the object tracking technique robust and efficient. The performance evaluation of the proposed algorithm has been carried out for different exigent conditions such as abrupt motion of object, varying illumination, clutter and occlusions. The qualitative and quantitative performance comparison of the same has been carried out with other existing algorithms by considering the detection rate, tracking speed, average precision, average recall and F-measure. The simulation study reveals that, the proposed method overthrowing the challenges like partial occlusion, non-rigidity and illumination variation.

关键词： object tracking color-texture histogram local tetra pattern mean shift algorithm Bhattacharyya coefficient

来源：评论

学校读者我要写书评

暂无评论

Human Tracking Based on Appearance Model

引用

Mediterranean Conference on Information and Communication Technologies (MedCT)

作者： Laaroussi, Khadija Saaidi, Abderrahim Masrar, Mohamed Satori, Khalid Sidi Mohamed Ben Abdellah Univ Fac Sci Dhar El Mahraz Dept Math & Comp Sci LIIAN PO 1796 Atlas Fez Morocco Sidi Mohamed Ben Abdellah Univ Polydisciplinary Fac Taza Lab Engn Sci LSI PO 1223 Taza Morocco

ISBN: (纸本)9783319303017;9783319302997

The mean shift algorithm for tracking the location of an object has recently gained considerable interest because of its speediness and efficiency. However, the appearance description using only color features cannot provide enough information when the target and its background have similar colors. In response to this problem, an improved human tracking system based on mean shift algorithm is incorporated in this paper. The proposed method combines color-texture features and background information to find the most distinguished features between the target and background for target representation. The experimental results show that the proposed method presents a good compromise between computational cost and accuracy;its performance is compared with recent state-of-the-art algorithm on Benchmark dataset and it achieved excellent results.

关键词： Human tracking mean shift algorithm Local binary pattern Color histogram

来源：评论

学校读者我要写书评

暂无评论

Fast, shape-directed, landmark-based deep gray matter segmentation for quantification of iron deposition

Fast, shape-directed, landmark-based deep gray matter segmen...

引用

Medical Imaging 2006 Conference

作者： Ekin, Ahmet Jasinschi, Radu van der Grond, Jeroen van Buchem, Mark A. van Muiswinkel, Arianne Philips Res Video Proc Grp HTC 36 NL-5656 AE Eindhoven Netherlands Leiden Univ Med Ctr Dept Radiol Leiden Netherlands Philips Med Syst NL-5680 DA Best Netherlands

ISBN: (纸本)0819464236

This paper introduces image processing methods to automatically detect the 3D volume-of-interest (VOI) and 2D region-of-interest (ROI) for deep gray matter organs (thalamus, globus pallidus, putamen, and caudate nucleus) of patients with suspected iron deposition from MR dual echo images. Prior to the VOI and ROI detection, cerebrospinal fluid (CSF) region is segmented by a clustering algorithm. For the segmentation, we automatically determine the cluster centers with the mean shift algorithm that can quickly identify the modes of a distribution. After the identification of the modes, we employ the K-Harmonic means clustering algorithm to segment the volumetric MR data into CSF and non-CSF. Having the CSF mask and observing that the frontal lobe of the lateral ventricle has more consistent shape accross age and pathological abnormalities, we propose a shape-directed landmark detection algorithm to detect the VOI in a speedy manner. The proposed landmark detection algorithm utilizes a novel shape model of the front lobe of the lateral ventricle for the slices where thalamus, globus pallidus, putamen, and caudate nucleus are expected to appear. After this step, for each slice in the VOI, we use horizontal and vertical projections of the CSF map to detect the approximate locations of the relevant organs to define the ROL We demonstrate the robustness of the proposed VOI and ROI localization algorithms to pathologies, including severe amounts of iron accumulation as well as white matter lesions, and anatomical variations. The proposed algorithms achieved very high detection accuracy, 100 % in the VOI detection, over a large set of a challenging MR dataset.

关键词： shape-based brain organ detection deep gray matter organ segmentation detection of brain iron deposition K-Harmonic means clustering mean shift algorithm landmark detection

来源：评论

学校读者我要写书评

暂无评论

PATHOLOGY-ROBUSTMR INTENSITY NORMALIZATION WITH GLOBAL AND LOCAL CONSTRAINTS

PATHOLOGY-ROBUSTMR INTENSITY NORMALIZATION WITH GLOBAL AND L...

引用

8th IEEE International Symposium on Biomedical Imaging (ISBI) - From Nano to Macro

作者： Ekin, Ahmet Philips Res Video & Image Proc Grp Eindhoven Netherlands

ISBN: (纸本)9781424441280

The intensity values in magnetic resonance (MR) images are not standardized. This prevents intensity comparison of different MR volumes that may be needed for visualization, intensity-based processing, and diagnosis. To this effect, this paper introduces a novel, pathology-robust MR intensity normalization algorithm that improves over the literature in three major aspects: 1) Pathology robustness: We achieve this by comparing the input MR volume with a reference volume, identifying the modes of their joint intensity distribution by the mean shift algorithm, and assigning each voxel a confidence value based on the distance of its intensity to the nearby mode. 2) Global and local analysis: We improve both the global similarity of intensities by matching the input and the reference histograms with histogram specification, and the local intensity similarity by minimizing the mean voxel intensity difference with dynamic programming. 3) Structure-preserving fusion of global and local approaches: The optimal fusion of global and local metrics is achieved by preserving the structures (defined as edges) in the normalized data compared with those in the input. We show the effectiveness of the proposed method with both visual and quantitative results.

关键词： Dynamic programming Equations Histograms Joints MR imaging Magnetic resonance Pathology Table lookup biomedical MRI brain brain diseases dynamic programming dynamic programming global constraints global similarity histogram specification image fusion image registration image segmentation intensity normalization joint intensity distribution local constraints magnetic resonance mean shift algorithm mean voxel intensity difference medical image processing pathology robustness

来源：评论

学校读者我要写书评

暂无评论

Real Time Fish Tracking Method Based on xPC Target 3

Real Time Fish Tracking Method Based on xPC Target

引用

IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)

作者： Liu Yaqi Zhang Lei Shi Xiaobin Henan Univ Sch Phys & Elect Kaifeng Peoples R China

ISBN: (纸本)9781538662434

The research on the mechanism of flexible bionic fish propulsion based on modal analysis is to develop a highspeed and efficient bionic swing propeller by studying the relationship between the swing frequency of soft-body bionic fish and its velocity. How to accurately track the real-time path of bionic fish has become the core issue of developing propellers. The motion estimation by an improvement mean shift algorithm is added to track the path of the bionic fish on xPC-Target platform. According to dual-target setting, two-dimensional coordinates are converted to three-dimensional coordinates. The position coordinates of the bionic fish swimming in real time are obtained. The actual position of fish swimming is compared with the tracking position, which determines the tracking accuracy.

关键词： Bionic fish propeller mean shift algorithm trajectory tracking

来源：评论

学校读者我要写书评

暂无评论

Tracking of Entities in Multi-Sport Field 1

Tracking of Entities in Multi-Sport Field

引用

International Conference on Advanced Computing Technologies and Applications (ICACTA)

作者： Vyas, Khyati K. Vira, Kevin Karani, Ruhina Dwarkadas J Sanghvi Coll Engn Comp Engn Bombay 400056 Maharashtra India

Object tracking is the key feature of video analysis. In this paper, we present a method to track object in a multi-sport field. mean shift algorithm is a kernel tracking approach which tracks on the basis of color and shape of the target object. Due to constant motion in a playground, it is difficult to track the same body because of changing color and direction. Hence we introduce a novel method, Incremental Discriminative Color Object Tracking to track entities on a sports ground. We have proposed to modify certain elements of the original mean shift algorithm so as to track entities in video streams with changing color, shape and direction. The trajectory formed from this method enables us to calculate the distance covered by an entity in the field. (C) 2015Published by Elsevier B.V.

关键词： mean shift algorithm IDCT Video Analysis Object tracking Sports

来源：评论

学校读者我要写书评

暂无评论

EXTRACTING REGIONS OF INTEREST FROM STILL IMAGES: COLOR SALIENCY AND WAVELET-BASED APPROACHES

EXTRACTING REGIONS OF INTEREST FROM STILL IMAGES: COLOR SALI...

引用

13th IEEE Digital Signal Processing Workshop/5th IEEE Signal Processing Education Workshop

作者： Saad, Michele A. Bovik, Alan C. Univ Texas Austin Austin TX 78712 USA

ISBN: (纸本)9781424436767

In this paper we explore four distinct approaches to extracting regions of interest (ROI) from still images. We show the results obtained for each of the proposed approaches, and we demonstrate where each method outperforms the other. The four approaches are: 1) a block-based discrete wavelet transform (DWT) algorithm, 2) a color saliency approach, 3) a wavelet coefficients variance saliency approach, and 4) an approach based on mean-shift clustering of image pixels. The wavelet-based approaches are shown to perform well on natural scene images that usually contain regions of distinct textures. The color saliency approach performs well on images containing objects of high saturation and brightness, and the mean-shift clustering approach partitions the image into regions according to the density distribution of pixel intensities.

关键词： Regions of interest color saliency discrete wavelet transform mean shift algorithm

来源：评论

学校读者我要写书评

暂无评论

ROBUST UNSUPERVISED NONPARAMETRIC CHANGE DETECTION OF SAR IMAGES

ROBUST UNSUPERVISED NONPARAMETRIC CHANGE DETECTION OF SAR IM...

引用

IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

作者： Garzelli, Andrea Zoppetti, Claudia Aiazzi, Bruno Baronti, Stefano Alparone, Luciano Univ Siena Dept Informat Engn I-53100 Siena Italy

ISBN: (纸本)9781467311595

This paper presents an unsupervised nonparametric method for change detection in multitemporal synthetic aperture radar (SAR) imagery. The proposed method relies on a novel feature capable of capturing the structural changes between the two images and discarding almost completely the statistical changes due to speckle patterns or co-registration inaccuracies. This feature utilizes the scatterplots of the amplitude levels in the two SAR images and applies a fast version of the mean-shift (MS) algorithm to find the modes of the underlying bivariate distribution. The value of the probability density function (PDF) is translated to a value of conditional information and given to all image pixels originating such modes. Experimental results have been carried out with simulated changes and true SAR images acquired by the COSMO-SkyMed satellite constellation. The proposed feature exhibits significantly better discrimination capability than both the classical log-ratio (LR) and is particularly robust if applied to SAR images having different processing and/or acquisition angles.

关键词： Change detection information-theoretic features mean shift algorithm multi-temporal images nonparametric methods synthetic aperture radar (SAR)

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12页 << < 3 4 5 6 7 8 9 10 11 12 > >>

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：