检索结果-内蒙古大学图书馆

New Criteria of Passivity Analysis for Fuzzy Time-Delay Systems With Parameter Uncertainties

IEEE Transactions on Fuzzy Systems 2015年第6期23卷 2284-2301页

作者： Wen, Shiping Zeng, Zhigang Huang, Tingwen Yu, Xinghuo Xiao, Mingqing School of Automation Huazhong University of Science and Technology Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Wuhan430074 China Texas A and M University at Qatar Doha23874 Qatar Platform Technologies Research Institute RMIT University MelbourneVIC3001 Australia Department of Mathematics Southern Illinois University CarbondaleIL62901 United States

This paper investigates the passivity problem for a class of uncertain stochastic fuzzy nonlinear systems with mixed delays and nonlinear noise disturbances by employing an improved free-weighting matrix approach. The fuzzy system is based on the Takagi-Sugeno model that is often used to represent the complex nonlinear systems in terms of fuzzy sets and fuzzy reasoning. To reflect more realistic dynamical behaviors of the system, the parameter uncertainties, the stochastic disturbances, and nonlinearities are considered, where the parameter uncertainties enter into all the system matrices, the stochastic disturbances are given in the form of a Brownian motion. The mixed delays comprise both discrete and distributed time-varying delays. By taking the relationship among the time delays, their lower and upper bounds into account, some less conservative linear-matrix-inequality-based delay-dependent passivity criteria are obtained without ignoring any useful terms in the derivative of Lyapunov functional. Finally, numerical examples are given to demonstrate the effectiveness and merits of the proposed methods. © 1993-2012 IEEE.

关键词： Time delay

来源：评论

学校读者我要写书评

暂无评论

Portable lensless wide-field microscopy imaging platform based on digital inline holography and multi-frame pixel super-resolution

引用

Light(Science & Applications) 2015年第1期4卷 152-162页

作者： Antonio C Sobieranski Fatih Inci H Cumhur Tekin Mehmet Yuksekkaya Eros Comunello Daniel Cobra Aldo von Wangenheim Utkan Demirci Demirci Bio-Acoustic-MEMS in Medicine(BAMM)Laboratory Division of Biomedical EngineeringDivision of Renal MedicineDepartment of MedicineBrigham and Women’s HospitalHarvard Medical SchoolBostonMAUSA Demirci Bio-Acoustic-MEMS in Medicine(BAMM)Laboratory Division of Infectious DiseasesBrigham and Women’s HospitalHarvard Medical SchoolBostonMAUSA INCoD–National Brazilian Institute for Digital Convergence/LAPIX Image Processing and Computer Graphics LabFederal University of Santa CatarinaBrazil Demirci Bio-Acoustic-MEMS in Medicine(BAMM)Laboratory Stanford University School of MedicineCanary Center at Stanford for Cancer Early DetectionPalo AltoCAUSA Present Address:Department of Biomedical Engineering Faculty of Engineering Bas¸kent UniversityAnkaraTurkey VisionLab Master in Applied ComputingUniversity of Itajaı´ValleyBrazil CERTI Foundation FlorianopolisBrazil

In this paper,an irregular displacement-based lensless wide-field microscopy imaging platform is presented by combining digital in-line holography and computational pixel super-resolution using multi-frame *** samples are illuminated by a nearly coherent illumination system,where the hologram shadows are projected into a complementary metal-oxide semiconductor-based imaging *** increase the resolution,a multi-frame pixel resolution approach is employed to produce a single holographic image from multiple frame observations of the scene,with small planar *** are resolved by a hybrid approach:(i)alignment of the LR images by a fast feature-based registration method,and(ii)fine adjustment of the sub-pixel information using a continuous optimization approach designed to find the global optimum *** method for phase-retrieval is applied to decode the signal and reconstruct the morphological details of the analyzed *** presented approach was evaluated with various biological samples including sperm and platelets,whose dimensions are in the order of a few *** obtained results demonstrate a spatial resolution of 1.55 μm on a field-of-view of<30 mm^(2).

关键词： digital in-line holography image registration lensless imaging point-of-care platform pixel super-resolution

来源：评论

学校读者我要写书评

暂无评论

CLASSIFYING FOOD imageS REPRESENTED AS BAG OF TEXTONS

CLASSIFYING FOOD IMAGES REPRESENTED AS BAG OF TEXTONS

引用

IEEE International Conference on image processing

作者： Giovanni Maria Farinella Marco Moltisanti Sebastiano Battiato Department of Mathematics and Computer Science Image Processing Laboratory - University of Catania

ISBN: (纸本)9781479957521

The classification of food images is an interesting and challenging problem since the high variability of the image content which makes the task difficult for current state-of-the-art classification methods. The image representation to be employed in the classification engine plays an important role. We believe that texture features have been not properly considered in this application domain. This paper points out, through a set of experiments, that textures are fundamental to properly recognize different food items. For this purpose the bag of visual words model (BoW) is employed. images are processed with a bank of rotation and scale invariant filters and then a small codebook of Textons is built for each food class. The learned class-based Textons are hence collected in a single visual dictionary. The food images are represented as visual words distributions (Bag of Textons) and a Support Vector Machine is used for the classification stage. The experiments demonstrate that the image representation based on Bag of Textons is more accurate than existing (and more complex) approaches in classifying the 61 classes of the Pittsburgh Fast-Food image Dataset.

关键词： Food Classification Bag of Words Textons

来源：评论

学校读者我要写书评

暂无评论

2D+t autoregressive framework for video texture completion

2D+t autoregressive framework for video texture completion

引用

作者： Racape, F. Doshkov, D. Koppel, M. Ndjiki-Nya, P. Image Processing Department Einsteinufer 37 Berlin10587 Germany Berlin Institute of Technology Department of Telecommunication Systems School of Electrical Engineering and Computer Science Einsteinufer 17 Berlin10587 Germany

ISBN: (纸本)9781479957514

In this paper, an improved 2D+t texture completion framework is proposed, providing high visual quality of completed dynamic textures. A Spatiotemporal Autoregressive model (STAR) is used to propagate the signal of several available frames onto frames containing missing textures. A Gaussian white noise classically drives the model to enable texture innovation. To improve this method, an innovation process is proposed, that uses texture information from available training frames. The proposed method is deterministic, which solves a key problem for applications such as synthesis-based video coding. Compression simulations show potential bitrate savings up to 49% on texture sequences at comparable visual quality. Video results are provided online to allow assessing the visual quality of completed textures. © 2014 IEEE.

关键词： White noise

来源：评论

学校读者我要写书评

暂无评论

A fast pavement location approach for autonomous car navigation 19

引用

19th Iberoamerican Congress on Pattern Recognition, CIARP 2014

作者： Rateke, Thiago Justen, Karla A. Chiarella, Vito F. Linhares, Rodrigo T. F. Sobieranski, Antonio Carlos Comunello, Eros von Wangenheim, Aldo Federal University of Santa Catarina Brazil Laboratory of Image Processing and Computer Graphics National Brazilian Institute for Digital Convergence Brazil Federal University of Parana Department of Informatics Brazil

ISBN: (纸本)9783319125671

This paper describes a fast image segmentation approach designed for pavement detection in a moving camera. The method is based on a graph-oriented segmentation approach where gradient information is used temporally as a system of discontinuities to control merging between adjacent regions. The method presumes that the navigable path usually is located at specific positions on the scene, and a predefined set of seed points is used to locate the region of interest. The obtained results shown the proposed approach is able to accurately detect in an inexpensive computation manner the navigable path even in non-optimum scenarios such as miss-painted or unpaved dirt roads. Validation was conducted using a dataset with 701 samples of navigable paths, presenting a very high precision for real-time applications. © Springer International Publishing Switzerland 2014.

关键词： Pavements

来源：评论

学校读者我要写书评

暂无评论

A New Gradient-based Nonlinear Diffusion Method Applied to image Denoising

A New Gradient-based Nonlinear Diffusion Method Applied to I...

引用

2014 IEEE International Conference on Progress in Informatics and Computing

作者： Xiaobo Zhang Xiangchu Feng Institute of Graphics and Image Processing Xianyang Normal University Department of Mathematics Xidian University

This paper presents a new nonlinear diffusion method toaddress the problem of noise removal. In the method, the diffusion function is based on gradient detection. The local window in the square gradient domain is used toextract the gradientinformation accurately. The tests demonstrate the proposed method gets the best results both subjectively and objectively compared tothe related gradient domain algorithms.

关键词： image denoising local window diffusion function

来源：评论

学校读者我要写书评

暂无评论

Optimization strategy for the design of ribbed plastic components

Zeitschrift Kunststofftechnik/Journal of Plastics Technology

引用

Zeitschrift Kunststofftechnik/Journal of Plastics Technology 2014年第4期2014卷 160-175页

作者： Schöneich, Marc Stommel, Markus Kratz, Andrea Zobel, Valentin Scheuermann, Gerik Hotz, Ingrid Burgeth, Bernhard Saarland University Saarbrücken66123 Germany Technical University Dortmund DortmundD-44227 Germany Department of Visualization and Data Analysis Zuse Institute Berlin Berlin-Dahlem14195 Germany Image and Signal Processing Group Institute for Informatics University of Leipzig Leipzig04105 Germany Braunschweig38108 Germany Department of Mathematics Saarland University Saarbrücken66123 Germany

The engineer is supported for the design of ribbed plastic components by basic guidelines concerning the shape and the position of the ribs. Thus, the experience and intuition of the individual engineer plays an important role. For this reason, a component with an optimal rib structure cannot be guaranteed. In this publication a new strategy is presented as assistance for the design of ribbed plastic components. The guidance of the design of rib structures in injection molded plastic parts by tensor visualization will result in an optimized rib structure which leads to stiffer parts when identical material is used. FE-simulations as well as experimental tests validate the optimization potential of tensor visualization for the design of ribbed plastic components. © 2014 Carl Hanser Verlag, München.

关键词： Visualization

来源：评论

学校读者我要写书评

暂无评论

Exponential image Enhancement in Daytime Fog Conditions

Exponential Image Enhancement in Daytime Fog Conditions

引用

17th International IEEE Conference on Intelligent Transportation Systems & The Asia-Pacific Council on Systems Engineering Conference 2014

作者： Mihai Negru Sergiu Nedevschi Radu Ioan Peter Image Processing and Pattern Recognition Group Computer Science DepartmentTechnical University of Cluj-Napoca head of the Image Processing and Pattern Recognition Group Computer Science DepartmentTechnical University of Cluj-Napoca Mathematics Department Technical University of Cluj-Napoca

The images captured in fog conditions have degraded contrast,that makes current image processing applications sensitive and error *** propose in this paper an efficient single image enhancement algorithm suitable for daytime fog conditions and based on an original mathematical model,for computing the atmospheric veil,that takes into account the variation in fog density to the *** model is inspired by the functions that appear in partition of unity in the differential geometry *** observing images captured in fog conditions,usually the fog has a very low density in front of the camera and this density has a non-linear increase with the distance,such that objects are no longer visible at greater *** using our mathematical model we are able to obtain superior reconstructions of the original fog-free image,when comparing to traditional *** advantage of our method is the ability to adapt the model in accordance to the density of the fog.A quantitative and qualitative evaluation is performed on both synthetic and real camera *** evaluation proves that our mathematical model is more suitable for image enhancement in both homogeneous and heterogeneous fog *** algorithm is able to perform image enhancement in real time for both color and gray scale images.

关键词： image Exponential image Enhancement in Daytime Fog Conditions

来源：评论

学校读者我要写书评

暂无评论

A new gradient-based nonlinear diffusion method applied to image denoising

A new gradient-based nonlinear diffusion method applied to i...

引用

IEEE International Conference on Progress in Informatics and Computing (PIC)

作者： Xiaobo Zhang Xiangchu Feng Institute of Graphics and Image Processing Xianyang Normal University Xianyang China Department of Mathematics Xidian University Xi'an China

ISBN: (纸本)9781479920327

This paper presents a new nonlinear diffusion method to address the problem of noise removal. In the method, the diffusion function is based on gradient detection. The local window in the square gradient domain is used to extract the gradient information accurately. The tests demonstrate the proposed method gets the best results both subjectively and objectively compared to the related gradient domain algorithms.

关键词： Manganese image denoising image edge detection Noise reduction Noise measurement PSNR

来源：评论

学校读者我要写书评

暂无评论

The extraction of hippocampus from MRI of human brain using morphological and image binarization techniques

The extraction of hippocampus from MRI of human brain using ...

引用

International Conference on Electronics and Communication Systems (ICECS)

作者： K. Somasundaram T. Genish Image Processing Lab Department of Computer Science and Applications Gandhigram Rural Institute Gandhigram Tamil Nadu India

Segmentation of hippocampus (Hc) from the human brain is a significant task in the medical field for the identification of abnormalities in the brain functions. In this paper, we propose a method to segment the hippocampus from Magnetic Resonance Imaging (MRI) of human brain scans. The pipeline of the proposed method makes use of filters such as trimmed mean and top-hat to blur and highlight the hippocampal edges respectively. The K-means clustering is used to find the threshold value in order to convert the filtered image into a binary one. The jaccard (J) and dice (D) indices are used to quantify the performance of the proposed method as well as the semi-automatic method ITK-SNAP. The results show that the proposed method works better than the existing ITK-SNAP.

关键词： image segmentation Magnetic resonance imaging Magnetic field measurement Manuals Labeling Nonhomogeneous media

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：