检索结果-内蒙古大学图书馆

Coarse Grained Reconfigurable Array Based Architecture for Low Power Real-Time Seizure Detection

JOURNAL OF SIGNAL processing systems FOR SIGNAL image AND VIDEO TECHNOLOGY 2016年第1期82卷 55-68页

作者： Patel, Kunjan Bleakley, Chris J. Univ Coll Dublin Sch Comp Sci & Informat Dublin Ireland

There is increasing research and commercial interest in miniature on-body and implantable devices for continuous real-time biosignal monitoring. A key challenge in realizing this vision is in implementation of biosignal processing algorithms with acceptably low energy consumption. In this article, we investigate implementation of the REACT algorithm for real-time epileptic seizure detection on a Coarse Grained Reconfigurable Array (CGRA) based architecture. Computationally expensive biosignal processing tasks are offloaded from a conventional Digital Signal Processor (DSP) to the CGRA. The CGRA is designed to support low power biosignal processing by means of a systolic architecture, flexible interconnect and low resource usage. The CGRA architecture is shown to provide 38% and 60% improvements in energy consumption and in performance, respectively, for the REACT system, without the use of voltage scaling or increased clock frequency.

关键词： Coarse grained reconfigurable architecture Biosignal processing Low energy Seizure detection Ambulatory monitoring

来源：评论

学校读者我要写书评

暂无评论

Laser Stripe Model for Sub-Pixel Peak Detection in Real-Time 3D Scanning

Laser Stripe Model for Sub-Pixel Peak Detection in Real-Time...

引用

IEEE International Conference on systems, Man, and Cybernetics (SMC)

作者： Besic, Ingmar Avdagic, Zikrija Univ Sarajevo Fac Elect Engn Sarajevo Bosnia & Herceg

ISBN: (纸本)9781509018970

Estimator algorithms rely on assumed laser stripe image profile to determine its peek with sub-pixel accuracy. They depend on light intensity readings around the peak and are susceptible to noise and saturation. Noise and stripe intensity models are commonly used to synthesize and feed test data to estimator algorithms in order to evaluate their accuracy and robustness. For real-time 3D scanning applications estimator algorithms are expected to prefer less computationally demanding estimation techniques. Simple and accurate models of empirical noise and laser stripe profile could be used to improve testing and algorithms accuracy. Modular test setup for 3D scanning is utilized to project a laser stripe on the target with patterned surface. Laser stripe image is captured and processed to extract noise and surface pattern interference. Laser power modulation is used to generate series of captures with various stripe intensities. Captures are partitioned, analyzed and presented according to target surface properties and color channels. image noise interfering with sub-pixel peak detection is analyzed and noise model based on empirical data is proposed. Empirical laser stripe images are analyzed and novel simple laser stripe intensity profile model conforming to empirical data is proposed.

关键词： image processing 3D scanning real-time sub-pixel peak detection

来源：评论

学校读者我要写书评

暂无评论

MeMoS - a software tool for extraction of anatomical structures data from 3D medical images

MeMoS - a software tool for extraction of anatomical structu...

引用

20th IEEE Conference on Signal processing - algorithms, Architectures, Arrangements, and Applications (SPA)

作者： Tyfa, Zbigniew Strzelecki, Michal Lodz Univ Technol Inst Elect PL-90924 Lodz Poland

ISBN: (纸本)9788362065271

MeMoS (Medical Model Sketcher), a software package that provides data required to reconstruct 3D medical models, basing on DICOM and RAW image sets, is presented. The uttermost objective of the software creation was to reduce a time needed to perform laborious data extraction process from medical images (necessary for the model reconstruction), without the need of purchasing expensive licenses for already existing programs. Obtained data can be used in any CAD software to recreate the spatial object. Generated 3D models of vascular systems can be used in numerical simulations so as to investigate the physical phenomena occurring in the circulatory system. Additionally, MeMoS is capable of creating datasets for texture analysis -that can be directly fed to the input of texture analysis software. Several results of the possible program output along with preliminary validation of implemented algorithms are outlined as well.

关键词： biomedical image analysis software 3D model reconstruction image segmentation

来源：评论

学校读者我要写书评

暂无评论

BACKGROUND PRIOR AND BOUNDARY WEIGHT-BASED PEDESTRIAN SEGMENTATION IN INFRARED imageS 23

BACKGROUND PRIOR AND BOUNDARY WEIGHT-BASED PEDESTRIAN SEGMEN...

引用

23rd IEEE International Conference on image processing (ICIP)

作者： Li, Lu Zheng, Yu Bai, Xiangzhi Zhou, Fugen Beihang Univ Image Proc Ctr Beijing 100191 Peoples R China

ISBN: (纸本)9781467399616

Pedestrian segmentation in infrared images is a difficult problem for the defects of low SNR and inhomogeneous luminance distribution. In this paper, we propose a method which aims to obtain the accurate pedestrian segmentation through a background prior and boundary weight-based saliency. Background likelihood is firstly calculated as background prior to get an abstract representation for infrared pedestrian. Then, by considering the object-center prior, the object-biased Gaussian model is applied to derive the probability density estimation for pedestrians. Finally, the above two results are integrated with the boundary weight to obtain the final saliency map for infrared image, based on which pedestrians can be easily segmented. Experimental results on real infrared images captured by intelligent transportation systems demonstrate the effectiveness of the proposed approach against the state-of-the-art algorithms.

关键词： infrared image saliency pedestrian segmentation background prior

来源：评论

学校读者我要写书评

暂无评论

The PUT Surveillance Database

引用

8th International Conference on image processing and Communications (IP and C)

作者： Fularz, Michal Kraft, Marek Schmidt, Adam Niechcial, Jakub Univ Technol Inst Control & Informat Engn Piotrowo 3A PL-60965 Poznan Poland

In this paper we present a new, publicly available database of color, high resolution images useful in evaluation of various algorithms in the field of video surveillance. The additional data provided with the images ... 详细信息

ISBN: (纸本)9783319238142;9783319238135

关键词： Video surveillance image dataset Object recognition Object tracking Reidentification

来源：评论

学校读者我要写书评

暂无评论

Retinal image quality assessment based on image clarity and content

引用

JOURNAL OF BIOMEDICAL OPTICS 2016年第9期21卷 096007-1-096007-17页

作者： Abdel-Hamid, Lamiaa El-Rafei, Ahmed El-Ramly, Salwa Michelson, Georg Hornegger, Joachim Misr Int Univ Dept Elect & Commun Fac Engn Ismalia Rd Km28 Cairo Egypt Ain Shams Univ Dept Engn Phys & Math Fac Engn 1 El Sarayat St Cairo 11517 Egypt Ain Shams Univ Dept Elect & Commun Fac Engn 1 El Sarayat St Cairo 11517 Egypt Friedrich Alexander Univ Erlangen Nuremberg Dept Ophthalmol Schwabachanlage 6 D-91054 Erlangen Germany Talkingeyes & More GmbH Med Valley Ctr D-91052 Erlangen Germany Friedrich Alexander Univ Erlangen Nuremberg Pattern Recognit Lab Dept Comp Sci Martensstr 3 D-91058 Erlangen Germany

Retinal image quality assessment (RIQA) is an essential step in automated screening systems to avoid misdiagnosis caused by processing poor quality retinal images. A no-reference transform-based RIQA algorithm is introduced that assesses images based on five clarity and content quality issues: sharpness, illumination, homogeneity, field definition, and content. Transform-based RIQA algorithms have the advantage of considering retinal structures while being computationally inexpensive. Wavelet-based features are proposed to evaluate the sharpness and overall illumination of the images. A retinal saturation channel is designed and used along with wavelet-based features for homogeneity assessment. The presented sharpness and illumination features are utilized to assure adequate field definition, whereas color information is used to exclude nonretinal images. Several publicly available datasets of varying quality grades are utilized to evaluate the feature sets resulting in area under the receiver operating characteristic curve above 0.99 for each of the individual feature sets. The overall quality is assessed by a classifier that uses the collective features as an input vector. The classification results show superior performance of the algorithm in comparison to other methods from literature. Moreover, the algorithm addresses efficiently and comprehensively various quality issues and is suitable for automatic screening systems. (C) 2016 Society of Photo-Optical Instrumentation Engineers (SPIE)

关键词： retinal image quality assessment automated retinal screening systems wavelet transform sharpness illumination homogeneity field definition

来源：评论

学校读者我要写书评

暂无评论

Research of the Defects in PET Preform 21

Research of the Defects in PET Preform

引用

21st International Conference on Methods and Models in Automation and Robotics (MMAR)

作者： Laucka, Andrius Andriukaitis, Darius Markevicius, Vytautas Zilys, Mindaugas Kaunas Univ Technol Dept Elect Engn LT-51368 Kaunas Lithuania

ISBN: (纸本)9781509018666

image technologies nowadays are used not only for keeping personal events safe, but also are widely applied in conjunction with automated electronic systems. Computer vision is widely used for inspection of the production quality in industries. Food industry is not an exception. Containers for food industry are made in very large quantities. This article contains of defect analysis of both external and side area of the bottleneck. Defects were divided into groups according to which the filters are created. For the control of PET preparation quality an automated computer vision algorithms were developed. The algorithms and methods were used for the detection of defective products mainly based on the image segmentation, digital production, erosion, smoothing. The most effective filters for the defect detection of the workpieces have been determined. It was carried out that efficiency of algorithms are close to 100 %.

关键词： PET digital image processing image segmentation computer vision smoothing methods

来源：评论

学校读者我要写书评

暂无评论

Comprative Study with Analysis of OCR algorithms and Invention Analysis of Character Recognition Approched Methodologies 1

Comprative Study with Analysis of OCR Algorithms and Inventi...

引用

1st IEEE International Conference on Power Electronics, Intelligent Control, and Energy systems (ICPEICES)

作者： Henge, Santosh Kumar Rama, B. Kakatiya Univ Dept Comp Sci Warangal Telangana State India

ISBN: (纸本)9781467385879

OCR is the most active, interesting evaluation invention of text cum character processing recognition and pattern based image recognition. In present life OCR has been successfully using in finance, legal, banking, health care and home need appliances. The OCR consists the different levels of processing methods like as image Pre Acquisition, Classification, Post-Acquisition, Pre-Level processing, Segmented processing, Post-Level processing, Feature Extraction. The many researchers are proposed various levels of different methodologies and approaches in different versions of languages with help of modern and traditional technologies. This paper expressed the detail study and analysis of various character recognition methods and approaches: in details like as flow and type of approached methodology was used, type of algorithm has built with support of technology has implemented background of the proposed methodology and invention best outcomes flow for the each methodology. This paper and also expressed the main objectives and ideology of various OCR algorithms, like as neural networks algorithm, structural algorithm, support vector algorithm, statistical algorithm, template matching algorithm along with how they classified, identified, rule formed, inferred for recognition of characters and symbols.

关键词： Support Vector Machine (SVM) Optical Character Recognition (OCR) Artificial Neural Network (ANN) Pattern Matching algorithms (PMA) Stastical Algorithm (SstA) Strctural Algorithm (SA) Freeman Chain Code (FCC) Digitized-Retrievable Rorm (DRF) Feedforwardneural Network (FINN) Feedback-neural Network (FbNN) Top-down-hierarchical-histogram (THH) Mirror image Learning (MIL)

来源：评论

学校读者我要写书评

暂无评论

Joint Chroma Downsampling and Upsampling for Screen Content image

引用

IEEE TRANSACTIONS ON CIRCUITS AND systems FOR VIDEO TECHNOLOGY 2016年第9期26卷 1595-1609页

作者： Wang, Shiqi Gu, Ke Ma, Siwei Gao, Wen Peking Univ Inst Digital Media Sch Elect Engn & Comp Sci Beijing 100871 Peoples R China Shanghai Jiao Tong Univ Inst Image Commun & Informat Proc Shanghai 200240 Peoples R China

Screen content images are originally captured in a full-chroma format. The chroma downsampling, which is commonly applied to the chroma component in screen content image representation and processing (e.g., YUV4:2:0 compression), will significantly degrade the image quality and create annoying artifacts such as blur and color shifting. To tackle this problem, in this paper we propose luma aware chroma downsampling and upsampling algorithms to jointly improve the quality of the chroma image reconstruction. Guided by the luma information, the chroma upsampling algorithm is proposed with the utilization of major color and index map representation. The geometric information-based linear mapping is developed to transfer the structure of luma to the interpolated chroma. Subsequently, the error sensitivity of the upsampling method is analyzed, and content dependent downsampling algorithm is presented to minimize the error sensitivity function. We further explore the applicability of the proposed scheme in the scenario of screen content compression, targeting at improving the decoded chroma image quality for display. Extensive experimental results demonstrate the viability and efficiency of the proposed scheme.

关键词： Chroma component downsampling screen content compression screen content image upsampling

来源：评论

学校读者我要写书评

暂无评论

A novel artificial fish swarm algorithm for pattern recognition with convex optimization

A novel artificial fish swarm algorithm for pattern recognit...

引用

International Conference on Communication and Electronics systems (ICCES)

作者： Shi, Lei Guo, Rui Ma, Yuchen Peking Univ Beijing Peoples R China Macquarie Univ N Ryde NSW Australia Hong Kong Baptist Univ Hong Kong Hong Kong Peoples R China

ISBN: (纸本)9781509010660

image pattern recognition is an important area in digital image processing. An efficient pattern recognition algorithm should be able to provide correct recognition at a reduced computational time. Off late amongst the machine learning pattern recognition algorithms, Artificial fish swarm algorithm is one of the swarm intelligence optimization algorithms that works based on population and stochastic search. In order to achieve acceptable result, there are many parameters needs to be adjusted in AFSA. Among these parameters, visual and step are very significant in view of the fact that artificial fish basically move based on these parameters. In standard AFSA, these two parameters remain constant until the algorithm termination. Large values of these parameters increase the capability of algorithm in global search, while small values improve the local search ability of the algorithm. In this paper, we empirically study the performance of the AFSA and different approaches to balance between local and global exploration have been tested based on the adaptive modification of visual and step during algorithm execution. The proposed approaches have been evaluated based on the four well-known benchmark functions. Experimental results show considerable positive impact on the performance of AFSA. A Convex optimization has been integrated into the proposed work to have an ideal segmentation of the input image which is a MR brain image.

关键词： image segmentation fish school algorithms convex optimization recognition rates

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：