检索结果-内蒙古大学图书馆

Breast masses identification through pixel-based texture classification 1

12th International Workshop on Breast Imaging, IWDM 2014

作者： Torrents-Barrena, Jordina Puig, Domenec Ferre, Maria Melendez, Jaime Diez-Presa, Lorena Arenas, Meritxell Martí, Joan Department of Computer Engineering and Mathematics University Rovira I Virgili Spain Department of Radiology Radboud University Medical Center Netherlands Radiotherapic Oncology Research Group Hospital Universitari Sant Joan de Reus Spain Computer Vision and Robotics Research Institute University of Girona Spain

ISBN: (数字)9783319078878

ISBN: (纸本)9783319078861

Mammographic image analysis plays an important role in computer-aided breast cancer diagnosis. To improve the existing knowledge, this paper proposes a new efficient pixel-based methodology for tumor vs non-tumor classification. The proposed method firstly computes a Gabor feature pool from the mammogram. This feature set is calculated through multi-sized evaluation windows applied to the probabilistic distribution moments, in order to improve the accuracy of the whole system. To deal with a high dimensional data space and a large amount of features, we apply both a linear and non-linear pixel classification stage by using Support Vector Machines (SVMs). The randomness is encoded when training each SVM using randomly sample sets and, in consequence, randomly selected features from the whole feature bank obtained in the first stage. The proposed method has been validated using real mammographic images from well-known databases and its effectiveness is demonstrated in the experimental section. © 2014 Springer International Publishing.

关键词： Pixels

来源：评论

学校读者我要写书评

暂无评论

Graph theory approach for match reduction in image mosaicing

Graph theory approach for match reduction in image mosaicing

引用

作者： Elibol, Armagan Gracias, Nuno Garcia, Rafael Kim, Jinwhan Division of Ocean Systems Engineering Korea Advanced Institute of Science and Technology Yuseong Daejeon 305-701 Korea Republic of Computer Vision and Robotics Group University of Girona Campus Montilivi Edifici P4 17071 Girona Spain

One of the crucial steps in image mosaicing is global alignment, which requires finding the best image registration parameters by employing nonlinear minimization methods over correspondences between overlapping image pairs for a dataset. Based on graph theory, we propose a simple but efficient method to reduce the number of overlapping image pairs without any noticeable effect on the final mosaic quality. This reduction significantly lowers the computational cost of the image mosaicing process. The proposed method can be applied in a topology estimation process to reduce the number of image matching attempts. The method has been validated through experiments on challenging underwater image sequences obtained during sea trials with different unmanned underwater vehicles. © 2014 Optical Society of America.

关键词： Graph theory

来源：评论

学校读者我要写书评

暂无评论

Optimal Production Planning for the Virgin Olive Oil Elaboration Process

引用

IFAC Proceedings Volumes 2014年第3期47卷 8921-8926页

作者： P. Cano Marchal D. Martínez Gila J. Gámez García J. Gómez Ortega Group of Robotics Automation and Computer Vision University of Jaén. Agrifood Campus of International Excellence (ceiA3) ES–23071 Jaén Spain

The quality and obtained quantity of Virgin Olive Oil is bounded by the characteristics of the olives to be processed, and further determined by the influence of the process variables during the actual elaboration. Since the quality of the olives evolves during the harvesting season, it is relevant to consider when to harvest the olives in order to maximize the profit over the whole season. This work proposes a method to determine an optimal production plan for the whole harvesting season and presents the results obtained in its application to four different scenarios.

关键词： Production planning and control Intelligent decision support systems in manufacturing

来源：评论

学校读者我要写书评

暂无评论

Online discovery of AUV control policies to overcome thruster failures

Online discovery of AUV control policies to overcome thruste...

引用

IEEE International Conference on robotics and Automation (ICRA)

作者： Seyed Reza Ahmadzadeh Matteo Leonetti Arnau Carrera Marc Carreras Petar Kormushev Darwin G. Caldwell Department of Advanced Robotics Istituto Italiano di Tecnologia Genova Italy Department of Computer Science The University of Texas at Austin Austin TX Computer Vision and Robotics Group (VICOROB) University of Girona Girona Spain

We investigate methods to improve fault-tolerance of Autonomous Underwater Vehicles (AUVs) to increase their reliability and persistent autonomy. We propose a learning-based approach that is able to discover new control policies to overcome thruster failures as they happen. The proposed approach is a model-based direct policy search that learns on an on-board simulated model of the AUV. The model is adapted to a new condition when a fault is detected and isolated. Since the approach generates an optimal trajectory, the learned fault-tolerant policy is able to navigate the AUV towards a specified target with minimum cost. Finally, the learned policy is executed on the real robot in a closed-loop using the state feedback of the AUV. Unlike most existing methods which rely on the redundancy of thrusters, our approach is also applicable when the AUV becomes under-actuated in the presence of a fault. To validate the feasibility and efficiency of the presented approach, we evaluate it with three learning algorithms and three policy representations with increasing complexity. The proposed method is tested on a real AUV, Girona500.

关键词： Optimization Trajectory Vectors Vehicles Robots Fault tolerance Fault tolerant systems

来源：评论

学校读者我要写书评

暂无评论

Iterative Learning Control for Machining with Industrial Robots

引用

IFAC Proceedings Volumes 2014年第3期47卷 9327-9333页

作者： Pablo Cano Marchal Olof Sörnmo Björn Olofsson Anders Robertsson Juan Gómez Ortega Rolf Johansson Group of Robotics Automation and Computer Vision University of Jaén ES–23071 Jaén Spain Department of Automatic Control LTH Lund University SE–221 00 Lund Sweden

We consider an iterative learning control (ILC) approach to machining with industrial robots. The robot and the milling process are modeled using system identification methods with a data-driven approach. Two different model-based ILC algorithms are proposed and subsequently experimentally verified in a milling scenario. The difference between the two approaches is the required sensors for acquiring relevant input data for the algorithms. The results from the experiments indicate that the proposed methods have the potential of significantly decreasing the position errors in robotic machining, up to 85% in the considered milling scenario.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Introduction

Springer Tracts in Advanced Robotics

引用

Springer Tracts in Advanced robotics 2013年 87卷 1-11页

作者： Nicosevici, Tudor Garcia, Rafael Computer Vision and Robotics Group University of Girona EPS-PIV Campus Montilivi Girona17071 Spain

The aim of this book is to provide a complete framework for efficient 3D modeling. More specifically, given an image sequence of a scene, the objective is to provide a high-precision textured 3D reconstruction of the ...

关键词：

来源：评论

学校读者我要写书评

暂无评论

SIFT texture description for understanding breast ultrasound images 1

引用

12th International Workshop on Breast Imaging, IWDM 2014

作者： Massich, Joan Meriaudeau, Fabrice Sentís, Melcior Ganau, Sergi Pérez, Elsa Puig, Domenec Martí, Robert Oliver, Arnau Martí, Joan Computer Vision and Robotics Group University of Girona Spain Laboratoire Le2i-UMR CNRS University of Burgundy Le Creusot France Department of Breast and Gynecological Radiology UDIAT-Diagnostic Center Parc Taulí Corporation Sabadell Spain Department of Radiology Hospital Josep Trueta of Girona Spain Department of Computer Engineering and Mathematics University Rovira I Virgili Tarragona Spain

ISBN: (数字)9783319078878

ISBN: (纸本)9783319078861

Texture is a powerful cue for describing structures that show a high degree of similarity in their image intensity patterns. This paper describes the use of Self-Invariant Feature Transform (SIFT), both as low-level and high-level descriptors, applied to differentiate the tissues present in breast US images. For the low-level texture descriptors case, SIFT descriptors are extracted from a regular grid. The high-level texture descriptor is build as a Bag-of-Features (BoF) of SIFT descriptors. Experimental results are provided showing the validity of the proposed approach for describing the tissues in breast US images. © 2014 Springer International Publishing.

关键词： Ultrasonics

来源：评论

学校读者我要写书评

暂无评论

Sonar-based Chain Following using an Autonomous Underwater Vehicle

Sonar-based Chain Following using an Autonomous Underwater V...

引用

IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： Natalia Hurtos Narcis Palomeras Arnau Carrera Marc Carreras Charalampos P. Bechlioulis George C. Karras Shahab Hesmati-alamdari Kostas Kyriakopoulos Computer Vision and Robotics Group (VI-COROB) University de Girona 17071 Girona Spain School of Mechanical Engineering National Technical University of Athens Athens 15780 Greece

ISBN: (纸本)9781479969357

Tracking an underwater chain using an autonomous vehicle can be a first step towards more efficient solutions for cleaning and inspecting mooring chains. We propose to use a forward looking sonar as a primary perception sensor to enable the vehicle operation in limited visibility conditions and overcome the turbidity arisen during marine growth removal. Despite its advantages, working with acoustic imagery raises additional challenges to the involved image processing and control methodologies. In this paper we present a robust framework to perform chain following, combining perception, planning and control disciplines. We first introduce a detection system that exploits the sonar's high frame rate and applies local pattern matching to handle the complexity of detecting link chains in acoustic images. Then, a planning system deals with the dispersed detections and determines the link waypoints that the vehicle should reach. Finally, the vehicle is guided through these waypoints using a high level controller that has been tailored to simultaneously traverse the chain and keep track of upcoming links. Experiments on real data demonstrate the capability of autonomously follow a chain with sufficient accuracy to perform subsequent cleaning or inspection tasks.

关键词： Autonomous underwater vehicles Vehicle operations Pattern matching Acoustic imagery Detection systems underwater vehicles sonar Autonomous Vehicles Frame Rate vehicle Underwater

来源：评论

学校读者我要写书评

暂无评论

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Antwerp, Belgium. 15-20 July 2017 Abstracts

引用

BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 95-176页

作者： [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ

来源：评论

学校读者我要写书评

暂无评论

Efficient topology estimation for large scale optical mapping

引用

Springer Tracts in Advanced robotics 2013年 82卷 1-100页

作者： Elibol, Armaĝan Gracias, Nuno Garcia, Rafael Department of Mathematical Engineering Yildiz Technical University Istanbul Turkey Computer Vision and Robotics Group University of Girona Girona Spain

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：