检索结果-内蒙古大学图书馆

International Symposium on Collaborative Technologies and systems

作者： Nupur Kohli Teng-Sheng Moh Department of Computer Science San Jose State University San Jose CA USA

Parallel Computing has been gaining interest nowadays due to physical constraints preventing frequency scaling. Therefore, in order to achieve high performance on multicore systems, programmers need to focus on parallelizing their programs. Although there are many available parallelized APIs written by experts that should improve coding, they do not automatically guarantee good performance. This paper focuses on understanding factors that help to achieve better performance. This paper specifically focuses on SIFT based feature matching for various image collections. SIFT works by extracting information from images and then later compares this information for feature matching. Since SIFT performs CPU intensive computations, it requires parallelization in order to be feasible. This paper focuses on exploring a shared memory model based API known as Open multi-processing (OpenMP) to accelerate existing serial SIFT based image matching. In this paper, we were able to achieve a speedup of ~2× by using various OpenMP features. The paper later discusses factors like scalability and speedup and how multi-threading impacts them. We also discovered the importance of different levels of parallelism and their effects on performance.

关键词： Parallel processing Multicore processing Synchronization Feature extraction Computational modeling Computer vision Approximation algorithms

来源：评论

学校读者我要写书评

暂无评论

Analysis of Land and marine resources by processing high resolution satellite images

Analysis of Land and marine resources by processing high res...

引用

Iberian Conference on Information systems and Technologies (CISTI)

作者： Edurne Ibarrola Ulzurrun Consuelo Gonzalo Martín Javier Marcello Ruiz Instituto de Oceanografia y Cambio Global IOCAG Universidad de Las Palmas de Gran Canaria ULPGC Spain Departamento de Arquitectura y Universidad Politécnica de Madrid Madrid Spain

ISBN: (纸本)9781509012268

In the last decades, there have been a decline in ecosystems natural resources. The objective of the thesis is to develop advanced image processing techniques applied to high resolution remote sensing imagery for the ecosystem conservation. Different pre-processing steps have been applied in order to acquire high quality imagery. The thesis is focused in three ecosystems from Canary Islands where, after an extensive analysis and evaluation, Weighted Wavelet `à trous' through Fractal Dimension Maps and Fast Intensity Hue Saturation are used in the pansharpening process, then, a RPC model performs the orthorectification and finally, the atmospheric correction is carried out by the 6S algorithm. The final step is to generate marine and terrestrial thematic products using advanced classification techniques for the management of natural resources.

关键词： Remote sensing Ecosystems Satellites Classification algorithms image resolution Sea measurements Atmospheric modeling

来源：评论

学校读者我要写书评

暂无评论

An Overview on the Applications of Matrix Theory in Wireless Communications and Signal processing

引用

algorithms 2016年第4期9卷 68-68页

作者： Wang, Xu Serpedin, Erchin Texas A&M Univ Dept Elect & Comp Engn College Stn TX 77843 USA

This paper overviews the key applications enabled by matrix theory in two major fields of interest in electrical engineering, namely wireless communications and signal processing. The paper focuses on the fundamental role played by matrices in modeling and optimization of wireless communication systems, and in detection, extraction and processing of the information embedded in signals. Among the major applications in wireless communications, the role of matrix representations and decompositions in characterizing multiple-input multiple-output (MIMO) and orthogonal frequency division multiplexing (OFDM) communication systems is described. In addition, this paper points out the important contribution made by matrices in solving signal estimation and detection problems. Special attention is given to the implementation of matrices in sensor array signal processing and the design of adaptive filters. Furthermore, the crucial role played by matrices in representing and processing digital images is depicted by several illustrative applications. This paper concludes with some applications of matrix theory in the area of compressive sensing of signals and by outlining a few open research problems for future study.

关键词： matrix signal processing wireless communications image processing compressive sensing

来源：评论

学校读者我要写书评

暂无评论

Cloud removal for single images based on dual tree complex wavelet transform

Cloud removal for single images based on dual tree complex w...

引用

International Conference on Signal processing and Communication systems, ICSPCS

作者： Xifang Zhu Feng Wu Ruxi Xiang Qingquan Xu Xiaoyan Jiang Hui Li Xu Zhang Zhengzhou Xu School of Electrical & Photo-electronic Engineering Changzhou Institute of Technology Changzhou China

ISBN: (纸本)9781509009428

Clouds can obscure ground information during remote sensing imaging. Cloud removal technology for a single image becomes significant when no images containing cloud-free regions are available. After the fundamental principle of dual tree complex wavelet transform (DTCWT) was reviewed, and the frequency relationships between clouds and ground objects in remote sensing images were analyzed, a novel algorithm to remove clouds from a single remote sensing image was proposed. The algorithm divided the cloud-contaminated image into low level high frequency sub-bands, high level high frequency sub-bands and low frequency sub-band by DTCWT. The low level high frequency sub-bands were filtered to enhance the ground object information by Laplacian filtering. The other two types of sub-bands were processed to remove cloud by applying the method of cloud layer coefficient weighting (CLCW). image processing experiments were implemented. Their results were analyzed. It proved the Laplacian contributes to enhancing ground object information adaptively. CLCW has the ability to remove clouds while preserving the ground object information outside the cloud cover. The proposed algorithm is greatly superior to algorithms based on traditional wavelet transform and the wavelet threshold theory.

关键词： Wavelet transforms Filter banks Laplace equations image reconstruction Remote sensing

来源：评论

学校读者我要写书评

暂无评论

Driver Distraction Using Visual-Based Sensors and algorithms

引用

SENSORS 2016年第11期16卷 1805-1805页

作者： Fernandez, Alberto Usamentiaga, Ruben Luis Carus, Juan Casado, Ruben Grp TSK Technol Sci Pk Gijon Gijon 33203 Asturias Spain Univ Oviedo Dept Comp Sci & Engn Campus Viesques Gijon 33204 Asturias Spain

Driver distraction, defined as the diversion of attention away from activities critical for safe driving toward a competing activity, is increasingly recognized as a significant source of injuries and fatalities on the roadway. Additionally, the trend towards increasing the use of in-vehicle information systems is critical because they induce visual, biomechanical and cognitive distraction and may affect driving performance in qualitatively different ways. Non-intrusive methods are strongly preferred for monitoring distraction, and vision-based systems have appeared to be attractive for both drivers and researchers. Biomechanical, visual and cognitive distractions are the most commonly detected types in video-based algorithms. Many distraction detection systems only use a single visual cue and therefore, they may be easily disturbed when occlusion or illumination changes appear. Moreover, the combination of these visual cues is a key and challenging aspect in the development of robust distraction detection systems. These visual cues can be extracted mainly by using face monitoring systems but they should be completed with more visual cues (e.g., hands or body information) or even, distraction detection from specific actions (e.g., phone usage). Additionally, these algorithms should be included in an embedded device or system inside a car. This is not a trivial task and several requirements must be taken into account: reliability, real-time performance, low cost, small size, low power consumption, flexibility and short time-to-market. The key points for the development and implementation of sensors to carry out the detection of distraction will also be reviewed. This paper shows a review of the role of computer vision technology applied to the development of monitoring systems to detect distraction. Some key points considered as both future work and challenges ahead yet to be solved will also be addressed.

关键词： driver distraction detection visual-based sensors image processing

来源：评论

学校读者我要写书评

暂无评论

Hyperspectral image Denoising with Composite Regularization Models

引用

JOURNAL OF SENSORS 2016年第5-16期2016卷 6586032-6586032页

作者： Li, Ao Chen, Deyun Lin, Kezheng Sun, Guanglu Harbin Univ Sci & Technol Postdoctoral Res Stn Comp Sci & Technol Harbin 150080 Peoples R China

Denoising is a fundamental task in hyperspectral image (HSI) processing that can improve the performance of classification, unmixing, and other subsequent applications. In an HSI, there is a large amount of local and global redundancy in its spatial domain that can be used to preserve the details and texture. In addition, the correlation of the spectral domain is another valuable property that can be utilized to obtain good results. Therefore, in this paper, we proposed a novel HSI denoising scheme that exploits composite spatial-spectral information using a nonlocal technique (NLT). First, a specific way to extract patches is employed to mine the spatial-spectral knowledge effectively. Next, a framework with composite regularization models is used to implement the denoising. A number of HSI data sets are used in our evaluation experiments and the results demonstrate that the proposed algorithm outperforms other state-of-the-art HSI denoising methods.

关键词： Hyperspectral imaging systems Signal denoising Spatial systems Crystal texture algorithms

来源：评论

学校读者我要写书评

暂无评论

Flood water depth estimation — A survey

Flood water depth estimation — A survey

引用

IEEE International Conference on Computational Intelligence and Computing Research

作者： Bhavana B. Nair Sethuraman Rao Amrita Vishwa Vidyapeetham Coimbatore Tamil Nadu IN

ISBN: (纸本)9781509006137

Global warming induced drastic climate changes have increased the frequency of natural disasters such as flooding, worldwide. Flooding is a constant threat to humanity and reliable systems for flood monitoring and analysis need to be developed. Flood hazard assessment needs to take into account physical characteristics such as flood depth, flow velocity and the duration of flooding. This paper provides the researchers with a detailed compilation of the methods that can be used for the estimation of flood water depth. A comparative study has been done between the water depth estimation techniques based on image processing and those which does not involve image processing. The comparison is based on various attributes such as implementation methods, advantages, accuracy and cost. image processing methods are classified based on various algorithms such as character recognition, feature extraction, region of interest (ROI), FIR filter etc. Similarly, non-image processing methods are classified based on hardware used such as sensors, level indicators, etc., and other signal based techniques. This study can be used to identify the best method for flood water depth estimation.

关键词： image processing Flood water depth Edge detection Level indicators Sensors

来源：评论

学校读者我要写书评

暂无评论

An application program of fingerprint detection using wavelet transform for authentication

An application program of fingerprint detection using wavele...

引用

Management and Innovation Technology International Conference (MITicon)

作者： Aunchisa Kwaochai Surapong Pongyupinpanich Pratya Areekul Wimol San-Um Thai-Nichi Institute of Technology Bangkok TH Realtime Information Electronics and Embedded Systems (RIEES) Master Program of Forensic Informatics Ramkhamhang University Huamark Bangkapi Bangkok Thailand 10240 Department of Mathematics and Computer Science Chulachomklao Royal Military Academy (CRMA) Amphor Mueng Tambol Promanee Province Nakornnayok Thailand

ISBN: (纸本)9781509041060

This paper presents the application program of fingerprint detection using wavelet transform for authentication. Fingerprints are obtained from the site of crime, old documents and excavated things. This paper proposes a fingerprint recognition technique based on wavelet-based texture pattern recognition method. By collecting incomplete fingerprints of 2 people with 6 images each. The original seven of uncompleted fingerprint images were undetected and only one was detected. After enhancing image quality using wavelet transform method, it was found that those of seven images were completed. The comparison method was a matching technique. This work focuses on the ability of the program and knowledge of image processing by studying algorithms of image processing. In design algorithm process, different technique enhancements were employed as well as the study of different of filters and algorithms based on existing research results from literature.

关键词： Fingerprint recognition image matching Discrete wavelet transforms Time-frequency analysis Continuous wavelet transforms

来源：评论

学校读者我要写书评

暂无评论

Hilbert-Huang Transform and its Application in Seismic Signal processing

Hilbert-Huang Transform and its Application in Seismic Signa...

引用

New Trends in Signal processing (NTSP)

作者： Roman Berešík Department of Electronics Armed Forces Academy of General M. R. Štefánik Liptovský Mikuláš Slovakia

The detection of targets in military and security applications involves the usage of sensor systems which consist of a variety of sensors such as seismic, acoustic, magnetic and image ones as well. In order to extract signal features, which characterize particular targets, using of appropriate signal processing algorithms is required. Seismic signals can be considered as nonstationary and nonlinear signals especially in near-field seismic zone. Most of the signal processing algorithms assumed that signals are linear and stationary. However, in many cases this assumption is not valid, especially in case of seismic signals generated by moving vehicles, walking persons or gunfire activity. There are several methods which can be used for seismic signal processing, like short-time Fourier transform (STFT), Wavelet transform (WT) and Wigner-Ville distribution (WVD). The paper presents the concept of the seismic sensor system based on Micro-Electro-Mechanical-System (MEMS) sensor SF1500S. A dedicated to vehicle detection. The main part of the paper deals with application of the Hilbert-Huang transform (HHT) to seismic signal processing in time and time-frequency domain. In conclusion, the outcomes of experiments provide comparison of HHT and STFT efficiency in terms of seismic features description of moving vehicle.

关键词： Vehicles Sensor systems Signal processing Time-frequency analysis Time series analysis Data acquisition Transforms

来源：评论

学校读者我要写书评

暂无评论

image SEGMENTATION ALGORITHM BASED ON COLOR FEATURES: CASE STUDY WITH GIANT PANDA

引用

INTERNATIONAL JOURNAL ON SMART SENSING AND INTELLIGENT systems 2016年第2期9卷 799-817页

作者： Wang, Hua Xiao, Jiang Zhang, Junguo Beijing Forestry Univ Inst Technol Beijing 100083 Peoples R China

Color which is one of the basic features of the image is widely used in image processing. The choice of color space is a primary issue for the color image segmentation based on color features. In this paper, giant pandas are chosen as the research objects. In order to achieve good segmentation results, different color spaces and the corresponding algorithms are chosen for image segmentation according to the color characteristics of different background of panda images. There are three kinds of color spaces introduced in detail and its advantages and disadvantages for the giant panda image segmentation are also summarized in this paper.

关键词： color features giant panda image segmentation

来源：评论

学校读者我要写书评

暂无评论

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：

请选择收藏分类：

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

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：