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

98 篇 会议
1 篇 期刊文献

馆藏范围

99 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

88 篇 理学
- 80 篇 物理学
- 5 篇 数学
- 3 篇 系统科学
- 1 篇 化学
- 1 篇 大气科学
- 1 篇 地质学
77 篇 工学
- 60 篇 计算机科学与技术...
- 35 篇 电气工程
- 25 篇 测绘科学与技术
- 11 篇 信息与通信工程
- 5 篇 电子科学与技术（可...
- 5 篇 软件工程
- 3 篇 光学工程
- 2 篇 仪器科学与技术
- 2 篇 生物医学工程（可授...
- 1 篇 材料科学与工程（可...
- 1 篇 化学工程与技术
20 篇 医学
- 15 篇 临床医学
- 5 篇 特种医学
- 1 篇 基础医学(可授医学...
- 1 篇 药学(可授医学、理...
3 篇 管理学
- 2 篇 图书情报与档案管...
- 1 篇 管理科学与工程(可...
- 1 篇 工商管理
1 篇 经济学
- 1 篇 应用经济学

主题

4 篇 image processing
3 篇 image fusion
3 篇 image matching
3 篇 remote sensing i...
3 篇 image segmentati...
3 篇 infrared image
3 篇 hyperspectral im...
3 篇 pattern recognit...
3 篇 remote sensing
3 篇 image compressio...
3 篇 image classifica...
3 篇 image registrati...
3 篇 convolutional ne...
2 篇 image enhancemen...
2 篇 object detection
2 篇 deep learning
2 篇 color correction
2 篇 gabor filter
2 篇 image retrieval
2 篇 image denoising

机构

6 篇 huazhong univ sc...
4 篇 wuhan inst techn...
3 篇 sci & technol av...
3 篇 huazhong univ sc...
3 篇 china natl aeron...
3 篇 huazhong univ sc...
3 篇 south china univ...
2 篇 huazhong univ sc...
2 篇 hubei presch tea...
2 篇 hubei univ autom...
2 篇 hunan univ human...
2 篇 wuhan univ sch r...
2 篇 huazhong univ sc...
2 篇 wuhan univ sch e...
2 篇 huazhong univ sc...
2 篇 univ maryland de...
2 篇 hust sch math & ...
2 篇 wuhan inst techn...
2 篇 dongfeng commerc...
2 篇 three gorges uni...

作者

6 篇 sang nong
4 篇 gao changxin
3 篇 yao shoukui
3 篇 xiao yang
3 篇 shi yu
3 篇 tian jinwen
3 篇 huang zhenghua
3 篇 he lin
3 篇 cao zhiguo
3 篇 hua xia
3 篇 zhao yi
3 篇 zhou huabing
2 篇 huang likun
2 篇 xie weixin
2 篇 hong hanyu
2 篇 zhang liping
2 篇 xu hongsheng
2 篇 pei jihong
2 篇 liu xiaomao
2 篇 fang zhiwen

语言

99 篇 英文

检索条件"任意字段=10th International Symposium on Multispectral Image Processing and Pattern Recognition, MIPPR 2017"

共 99 条记录，以下是31-40 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：

Automatic Road Extraction from High Resolution Remote Sensing image by Means of Topological Derivative and Mathematical Morphology 10

Automatic Road Extraction from High Resolution Remote Sensin...

引用

10th international symposium on multispectral image processing and pattern recognition (mippr) - Remote Sensing image processing, Geographic Information Systems, and Other Applications

作者： Zhou, Hongyu Song, Xu Liu, Guoying Anyang Normal Univ Sch Comp & Informat Engn Anyang 455000 Henan Peoples R China

ISBN: (数字)9781510617261

ISBN: (纸本)9781510617261;9781510617254

Automatic road extraction from High Resolution Remote Sensing image is a challenging problem. In this paper we present a new approach for road automatically extraction which is based on topological derivative and mathematical morphology. this approach for road extraction can be divided into three main steps: using topological derivative for image segmentation, using mathematical morphology for road network identification and filtering. the experimental results show that this approach can effectively extract roads from high-resolution remote sensing image.

关键词： Topological Derivative Road Extraction Mathematical Morphology

来源：评论

学校读者我要写书评

暂无评论

A Block-Based JPEG-LS Compression Technique with Lossless Region of Interest 10

A Block-Based JPEG-LS Compression Technique with Lossless Re...

引用

10th international symposium on multispectral image processing and pattern recognition (mippr) - Parallel processing of images and Optimization Techniques;and Medical Imaging

作者： Deng, Lihua Huang, Zhenghua Yao, Shoukui Huazhong Univ Sci & Technol Sch Automat Natl Key Lab Sci & Tech Multispectral Informat Pr Wuhan 430074 Hubei Peoples R China Three Gorges Univ Coll Comp & Informat Technol Yichang 443002 Hubei Peoples R China

ISBN: (数字)9781510617247

ISBN: (纸本)9781510617247;9781510617230

JPEG-LS lossless compression algorithm is used in many specialized applications that emphasize on the attainment of high fidelity for its lower complexity and better compression ratios than the lossless JPEG standard. But it cannot prevent error diffusion because of the context dependence of the algorithm, and have low compression rate when compared to lossy compression. In this paper, we firstly divide the image into two parts: ROI regions and non-ROI regions. then we adopt a block-based image compression technique to decrease the range of error diffusion. We provide JPEG-LS lossless compression for the image blocks which include the whole or part region of interest (ROI) and JPEG-LS near lossless compression for the image blocks which are included in the non-ROI (unimportant) regions. Finally, a set of experiments are designed to assess the effectiveness of the proposed compression method.

关键词： image compression Lossy compression Lossless compression Region of interest

来源：评论

学校读者我要写书评

暂无评论

A Novel Attack Method About Double-random-phase-encoding-based image Hiding Method 10

A Novel Attack Method About Double-random-phase-encoding-bas...

引用

10th international symposium on multispectral image processing and pattern recognition (mippr) - Remote Sensing image processing, Geographic Information Systems, and Other Applications

作者： Xu, Hongsheng Xiao, Zhijun Zhu, Xianchen Hubei Univ Automot Technol Sch Elect & Informat Engn Shiyan 442001 Hubei Peoples R China Dongfeng Commercial Vehicle Co Dept Proc & IT Wuhan Hubei Peoples R China

ISBN: (数字)9781510617261

ISBN: (纸本)9781510617261;9781510617254

By using optical image processing techniques, a novel text encryption and hiding method applied by double-random phase-encoding technique is proposed in the paper. the first step is that the secret message is transformed into a 2 dimension array. the higher bits of the elements in the array are used to fill with the bit stream of the secret text, while the lower bits are stored specific values. then, the transformed array is encoded by double random phase encoding technique. Last, the encoded array is embedded on a public host image to obtain the image embedded with hidden text. the performance of the proposed technique is tested via analytical modeling and test data stream. Experimental results show that the secret text can be recovered either accurately or almost accurately, while maintaining the quality of the host image embedded with hidden data by properly selecting the method of transforming the secret text into an array and the superimposition coefficient.

关键词： double-random phase-encoding text encryption text hiding image

来源：评论

学校读者我要写书评

暂无评论

A novel configurable VLSI architecture design of window-based image processing method 10

A novel configurable VLSI architecture design of window-base...

引用

10th international symposium on multispectral image processing and pattern recognition (mippr) - Parallel processing of images and Optimization Techniques;and Medical Imaging

作者： Zhao, Hui Sang, Hongshi Shen, Xubang Huazhong Univ Sci & Technol Natl Key Lab Sci & Technol Multispectral Informat Wuhan Hubei Peoples R China

ISBN: (数字)9781510617247

ISBN: (纸本)9781510617247;9781510617230

Most window-based image processing architecture can only achieve a certain kind of specific algorithms, such as 2D convolution, and therefore lack the flexibility and breadth of application. In addition, improper handling of the image boundary can cause loss of accuracy, or consume more logic resources. For the above problems, this paper proposes a new VLSI architecture of window-based image processing operations, which is configurable and based on consideration of the image boundary. An efficient technique is explored to manage the image borders by overlapping and flushing phases at the end of row and the end of frame, which does not produce new delay and reduce the overhead in real-time applications. Maximize the reuse of the on-chip memory data, in order to reduce the hardware complexity and external bandwidth requirements. To perform different scalar function and reduction function operations in pipeline, this can support a variety of applications of window-based image processing. Compared with the performance of other reported structures, the performance of the new structure has some similarities to some of the structures, but also superior to some other structures. Especially when compared with a systolic array processor CWP, this structure at the same frequency of approximately 12.9% of the speed increases. the proposed parallel VLSI architecture was implemented with SIMC 0.18-mu m CMOS technology, and the maximum clock frequency, power consumption, and area are 125Mhz, 57mW, 104.8K Gates, respectively, furthermore the processing time is independent of the different window-based algorithms mapped to the structure.

关键词： window-based image processing image boundary configurable VLSI SIMC

来源：评论

学校读者我要写书评

暂无评论

Robust object tacking based on self-adaptive search area 10

Robust object tacking based on self-adaptive search area

引用

10th international symposium on multispectral image processing and pattern recognition, mippr 2017

作者： Dong, Taihang Zhong, Sheng Science and Technology on Multispectral Information Processing Laboratory China School of Automation Huazhong University of Science and Technology Wuhan Hubei430074 China

ISBN: (数字)9781510617209

ISBN: (纸本)9781510617193

Discriminative correlation filter (DCF) based trackers have recently achieved excellent performance with great computational efficiency. However, DCF based trackers suffer boundary effects, which result in the unstable performance in challenging situations exhibiting fast motion. In this paper, we propose a novel method to mitigate this side-effect in DCF based trackers. We change the search area according to the prediction of target motion. When the object moves fast, broad search area could alleviate boundary effects and reserve the probability of locating object. When the object moves slowly, narrow search area could prevent effect of useless background information and improve computational efficiency to attain real-time performance. this strategy can impressively soothe boundary effects in situations exhibiting fast motion and motion blur, and it can be used in almost all DCF based trackers. the experiments on OTB benchmark show that the proposed framework improves the performance compared with the baseline trackers. © 2018 SPIE.

关键词： Computational efficiency

来源：评论

学校读者我要写书评

暂无评论

A Parallel Method of Atmospheric Correction for multispectral High Spatial Resolution Remote Sensing images 10

A Parallel Method of Atmospheric Correction for Multispectra...

引用

10th international symposium on multispectral image processing and pattern recognition (mippr) - Remote Sensing image processing, Geographic Information Systems, and Other Applications

作者： Zhao, Shaoshuai Ni, Chen Cao, Jing Li, Zhengqiang Chen, Xingfeng Ma, Yan Yang, Leiku Hou, Weizhen Qie, Lili Ge, Bangyu Liu, Li Xing, Jin Henan Polytech Univ Sch Surveying & Land Informat Engn Jiaozuo 454003 Peoples R China Chinese Acad Sci Inst Remote Sensing & Digital Earth State Key Lab Remote Sensing Sci State Environm Protect Key Lab Satellite Remote S Beijing 100101 Peoples R China China Acad Space Technol Inst Spacecraft Syst Engn Beijing 100094 Peoples R China China Ctr Resources Satellite Data & Applicat Beijing 100094 Peoples R China China Natl Space Adm Earth Observat Program Ctr Beijing 100101 Peoples R China

ISBN: (数字)9781510617261

ISBN: (纸本)9781510617261;9781510617254

the remote sensing image is usually polluted by atmosphere components especially like aerosol particles. For the quantitative remote sensing applications, the radiative transfer model based atmospheric correction is used to get the reflectance with decoupling the atmosphere and surface by consuming a long computational time. the parallel computing is a solution method for the temporal acceleration. the parallel strategy which uses multi-CPU to work simultaneously is designed to do atmospheric correction for a multispectral remote sensing image. the parallel framework's flow and the main parallel body of atmospheric correction are described. then, the multispectral remote sensing image of the Chinese Gaofen-2 satellite is used to test the acceleration efficiency. When the CPU number is increasing from 1 to 8, the computational speed is also increasing. the biggest acceleration rate is 6.5. Under the 8 CPU working mode, the whole image atmospheric correction costs 4 minutes.

关键词： Parallel Computing Atmospheric Correction Remote Sensing multispectral image High Spatial Resolution

来源：评论

学校读者我要写书评

暂无评论

A localization algorithm of adaptively determining the ROI of the reference circle in image 10

A localization algorithm of adaptively determining the ROI o...

引用

10th international symposium on multispectral image processing and pattern recognition (mippr) - Remote Sensing image processing, Geographic Information Systems, and Other Applications

作者： Xu, Zeen Zhang, Jun Zhang, Daimeng Liu, Xiaomao Tian, Jinwen HUST Sch Automat State Key Lab Multispectral Informat Proc Technol Wuhan 430074 Hubei Peoples R China Univ Maryland Dept Elect & Comp Engn College Pk MD 20742 USA HUST Sch Math & Stat Wuhan 430074 Hubei Peoples R China

ISBN: (数字)9781510617261

ISBN: (纸本)9781510617261;9781510617254

Aiming at solving the problem of accurately positioning the detection probes underwater, this paper proposed a method based on computer vision which can effectively solve this problem. the theory of this method is that: First, because the shape information of the heat tube is similar to a circle in the image, we can find a circle which physical location is well known in the image, we set this circle as the reference circle. Second, we calculate the pixel offset between the reference circle and the probes in the picture, and adjust the steering gear through the offset. As a result, we can accurately measure the physical distance between the probes and the under test heat tubes, then we can know the precise location of the probes underwater. However, how to choose reference circle in image is a difficult problem. In this paper, we propose an algorithm that can adaptively confirm the area of reference circle. In this area, there will be only one circle, and the circle is the reference circle. the test results show that the accuracy of the algorithm of extracting the reference circle in the whole picture without using ROI (region of interest) of the reference circle is only 58.76% and the proposed algorithm is 95.88%. the experimental results indicate that the proposed algorithm can effectively improve the efficiency of the tubes detection.

关键词： heat tubes detection probes reference circle adaptive ROI image positioning

来源：评论

学校读者我要写书评

暂无评论

An image-based Automatic recognition Method for the Flowering Stage of Maize 10

An Image-based Automatic Recognition Method for the Flowerin...

引用

10th international symposium on multispectral image processing and pattern recognition (mippr) - Remote Sensing image processing, Geographic Information Systems, and Other Applications

作者： Yu, Zhenghong Zhou, Huabing Li, Cuina Guangdong Polytech Sci & Technol Zhuhai Key Lab Adv Equipment Mfg & Mat Proc Techn Zhuhai 519090 Peoples R China Wuhan Inst Technol Hubei Key Lab Intelligent Robot Wuhan 430073 Hubei Peoples R China Chinese Acad Sci Inst Atmospher Phys Beijing 100029 Peoples R China

ISBN: (数字)9781510617261

ISBN: (纸本)9781510617261;9781510617254

In this paper, we proposed an image-based approach for automatic recognizing the flowering stage of maize A modified HOG/SVM detection framework is first adopted to detect the ears of maize then, we use low-rank matrix recovery technology to precisely extract the ears at pixel level. At last, a new feature called color gradient histogram, as an indicator, is proposed to determine the flowering stage. Comparing experiment has been carried out to testify the validity of our method and the results indicate that our method can meet the demand for practical observation.

关键词： Automatic recognition Maize Flowering Stage Low-rank Recovery Color Gradient Histogram

来源：评论

学校读者我要写书评

暂无评论

A NDVI assisted remote sensing image adaptive scale segmentation method 10

A NDVI assisted remote sensing image adaptive scale segmenta...

引用

10th international symposium on multispectral image processing and pattern recognition (mippr) - Remote Sensing image processing, Geographic Information Systems, and Other Applications

作者： Zhang, Hong Shen, Jinxiang Ma, Yanmei Yunnan Land & Resources Vocat Coll Dept Land Management Kunming 652501 Yunnan Peoples R China

ISBN: (数字)9781510617261

ISBN: (纸本)9781510617261;9781510617254

Multiscale segmentation of images can effectively form boundaries of different objects with different scales. However, for the remote sensing image which widely coverage with complicated ground objects, the number of suitable segmentation scales, and each of the scale size is still difficult to be accurately determined, which severely restricts the rapid information extraction of the remote sensing image. A great deal of experiments showed that the normalized difference vegetation index (NDVI) can effectively express the spectral characteristics of a variety of ground objects in remote sensing images. this paper presents a method using NDVI assisted adaptive segmentation of remote sensing images, which segment the local area by using NDVI similarity threshold to iteratively select segmentation scales. According to the different regions which consist of different targets, different segmentation scale boundaries could be created. the experimental results showed that the adaptive segmentation method based on NDVI can effectively create the objects boundaries for different ground objects of remote sensing images.

关键词： Adaptive segmentation Multi-scale Remote sensing NDVI

来源：评论

学校读者我要写书评

暂无评论

Research on Segmentation Based on Multi-Atlas in Brain MR image 10

Research on Segmentation Based on Multi-Atlas in Brain MR Im...

引用

10th international symposium on multispectral image processing and pattern recognition (mippr) - Parallel processing of images and Optimization Techniques;and Medical Imaging

作者： Qian, Yuejing Huazhong Univ Sci & Technol Sch Comp Sci & Technol Wuhan 430074 Hubei Peoples R China Zhejiang Ind & Trade Vocat Coll Wenzhou 325000 Zhejiang Peoples R China

ISBN: (数字)9781510617247

ISBN: (纸本)9781510617247;9781510617230

Accurate segmentation of specific tissues in brain MR image can be effectively achieved with the multi-atlas-based segmentation method, and the accuracy mainly depends on the image registration accuracy and fusion scheme. this paper proposes an automatic segmentation method based on the multi-atlas for brain MR image. Firstly, to improve the registration accuracy in the area to be segmented, we employ a target-oriented image registration method for the refinement. then In the label fusion, we proposed a new algorithm to detect the abnormal sparse patch and simultaneously abandon the corresponding abnormal sparse coefficients, this method is made based on the remaining sparse coefficients combined with the multipoint label estimator strategy. the performance of the proposed method was compared with those of the nonlocal patch-based label fusion method (Nonlocal-PBM), the sparse patch-based label fusion method (Sparse-PBM) and majority voting method (MV). Based on our experimental results, the proposed method is efficient in the brain MR images segmentation compared with MV, Nonlocal-PBM, and Sparse-PBM methods.

关键词： Brain segmentation Registration Atlas Abnormity detection Label fusion

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10页 << < 1 2 3 4 5 6 7 8 9 10 > >>

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：