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Corrigendum to "PSFHS challenge report: pubic symphysis and fetal head segmentation from intrapartum ultrasound images" [Medical Image Analysis 99 (2025),103353]

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Medical image analysis 2025年 104卷 103651页

作者： Jieyun Bai Zihao Zhou Zhanhong Ou Gregor Koehler Raphael Stock Klaus Maier-Hein Marawan Elbatel Robert Martí Xiaomeng Li Yaoyang Qiu Panjie Gou Gongping Chen Lei Zhao Jianxun Zhang Yu Dai Fangyijie Wang Guénolé Silvestre Kathleen Curran Hongkun Sun Jing Xu Pengzhou Cai Lu Jiang Libin Lan Dong Ni Mei Zhong Gaowen Chen Víctor M Campello Yaosheng Lu Karim Lekadir Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization Jinan University Guangzhou China Auckland Bioengineering Institute The University of Auckland Auckland New Zealand. Electronic address: jbai996@aucklanduni.ac.nz. Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization Jinan University Guangzhou China. Division of Medical Image Computing German Cancer Research Center (DKFZ) Heidelberg Germany. Department of Computer Science and Engineering The Chinese University of Hong Kong China. Computer Vision and Robotics Group University of Girona Girona Spain. Canon Medical Systems (China) Co. LTD Beijing China. College of Artificial Intelligence Nankai University Tianjin China. College of Computer Science and Electronic Engineering Hunan University Changsha China. School of Medicine University College Dublin Dublin Ireland. School of Computer Science University College Dublin Dublin Ireland. School of Statistics & Mathematics Zhejiang Gongshang University Hangzhou China. School of Computer Science & Engineering Chongqing University of Technology Chongqing China. National-Regional Key Technology Engineering Laboratory for Medical Ultrasound & Guangdong Provincial Key Laboratory of Biomedical Measurements and Ultrasound Imaging & School of Biomedical Engineering Health Science Center Shenzhen University Shenzhen China. NanFang Hospital of Southern Medical University Guangzhou China. Zhujiang Hospital of Southern Medical University Guangzhou China. Departament de Matemàtiques i Informàtica Universitat de Barcelona Barcelona Spain. Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization Jinan University Guangzhou China. Electronic address: tluys@***. Departament de Matemàtiques i Informàtica Universitat de Barcelona Barcelona Spain Institució Catalana de Recerca i Estudis Avançats (ICREA) Barcelona Spain.

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Real-time Fish Detection in Trawl Nets

Real-time Fish Detection in Trawl Nets

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Oceans (Conference)

作者： R. Prados R. Garcia N. Gracias L. Neumann Havard Vagstol Computer Vision and Robotics Institute University of Girona Girona Spain ICREA Pg. Lluís Companys 23 Barcelona Spain Scantrol Deep Vision AS Bergen Norway

This work presents advances towards the development of the Deep vision system, consisting of a stereo camera setup attached to a trawl, which will make it possible to identify and measure the fish passing through without bringing them aboard the boat. This identification and measuring task requires a preprocessing in which the specimens should be segmented from the image background. Several lighting artifacts such as non-uniform illumination, shadows and reflections are some of the challenges to be addressed during the segmentation procedure. This paper describes the segmentation pipeline used to segment the fish from the background in an efficient and robust way.

关键词： Fish segmentation Trawl camera system HSV

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

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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

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Mapping the Moon: Using a lightweight AUV to survey the site of the 17th century ship ‘La Lune’

Mapping the Moon: Using a lightweight AUV to survey the site...

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OCEANS - Europe

作者： Nuno Gracias Pere Ridao Rafael Garcia Javier Escartín Michel L'Hour Franca Cibecchini Ricard Campos Marc Carreras David Ribas Narcís Palomeras Lluis Magi Albert Palomer Tudor Nicosevici Ricard Prados Ramon Hegedüs Laszlo Neumann Francesco de Filippo Angelos Mallios Computer Vision and Robotics Group University of Girona Spain Equipe de Géosciences Marines IPGP University of Paris Diderot France Équipe de Géosciences Marines IPGP Univ. Paris Diderot France DRASSM Marseille France Max Planck Institute for Informatics Saarbrücken Germany ICREA Barcelona Spain Università della Calabria Italy

This paper describes the use of a research-driven, highly reconfigurable autonomous underwater vehicle for surveying the site of the historical shipwreck of La Lune. This wreck, from the XVII century, lies in 90m of water near the coast of Toulon in France. The goal of this survey was to create a fast but detailed map of the site, to serve as a base map for subsequent archaeological intervention. The paper overviews the survey setup and the methods used to generate a high resolution optical map. It also highlights some of the important advantages that lightweight AUVs present for archaeological survey missions in terms of operational costs, survey time, the quality of both the acquired data and the mapping outcome, and access to deep sites that are not reachable by traditional archaeological methods.

关键词： Marine vehicles Vehicles Optical sensors Navigation Cameras Optical imaging

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Challenges of close-range underwater optical mapping

Challenges of close-range underwater optical mapping

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OCEANS - Europe

作者： Ricard Prados Rafael Garcia Javier Escartín László Neumann Computer Vision and Robotics Group University of Girona Girona Spain CNRS/IPGP UMR7154 Équipe de Géosciences Marines Paris France ICREA Barcelona Spain

Underwater optical mapping often involves the use of image mosaicing techniques. High quality mosaicing requires the application of blending methods to achieve continuous and artifact-free mosaics. Image blending has a dilated history of over three decades in the terrestrial and aerial fields. Unfortunately, the nature of the underwater medium adds additional difficulties to the mosaicing and blending tasks. In this paper a survey of the blending methods is given, focusing the attention on its applicability to underwater mosaicing. Image acquisition is performed by Autonomous Underwater Vehicles (AUVs) or Remotely Operated Vehicles (ROVs) in the deep ocean, a medium with aggressive light absorption and disrupting scattering effects that requires of the use of artificial lighting. A comprehensive comparison of the basic features and limitations of some of the most important existing blending techniques is presented. The goal is the generation of seamless and visually pleasant large area photo-mosaics of the seafloor, free from double contouring, ghosting and other disturbing and common blending artifacts.

关键词： Smoothing methods Lighting Context Spline Cameras Visualization Scattering

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A robust and universal gradient domain imaging solver using gradient variables and locally varying metrics

A robust and universal gradient domain imaging solver using ...

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作者： Neumann, László Hegediis, Ramón Computer Vision and Robotics Group University of Girona Spain ICREA Barcelona Spain

ISBN: (纸本)9783905674248

Gradient Domain Imaging (GDI) has gained a high importance and provoked numerous powerful applications over the last decade. It employs a workflow of creating an inconsistent gradient field (GF) from one or more images using different non-linear operations and finally it determines an image with a consistent, integrable GF that falls near to the prescribed inconsistent one. However, the result is not really predictable, often suffers from halo-effects and other local distortions at higher frequencies as well as from uncontrollable far-effects arising from local gradient-contradictions. The unfolding of these artifacts culminates in an undesired overall image appearance. None of the common GDI solvers can overcome these side-effects as they utilize the same local isotropic'coefficient-pattern' in a sparse matrix description and they differ only in the numerical solution techniques. We present a powerful GDI method solving the problem completely in the gradient domain with gradient-variables and using spatially varying metrics that depends only on the starting inconsistent gradient field. After obtaining the nearest consistent gradient field with the pre-defined metrics we return into the image space by double integration that yields the wanted pixel intensity values. Our method delivers a great aesthetic enhancement by eliminating halo effects and saving small details, furthermore providing a realistic and pleasant overall light distribution at lower frequencies. By significantly extending the range of allowed inconsistency in the prescribed gradient field, it also allows for solving a large class of problems that proved hopeless beforehand. © The Eurographics Association 2010.

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A robust and universal gradient domain imaging solver using gradient variables and locally varying metrics

A robust and universal gradient domain imaging solver using ...

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6th International Symposium on Computational Aesthetics in Graphics, Visualization, and Imaging, CAe 2010

作者： Neumann, László Hegedüs, Ramón Computer Vision and Robotics Group University of Girona Spain ICREA Barcelona Spain

ISBN: (纸本)9783905674248

Gradient Domain Imaging (GDI) has gained a high importance and provoked numerous powerful applications over the last decade. It employs a workflow of creating an inconsistent gradient field (GF) from one or more images using different non-linear operations and finally it determines an image with a consistent, integrable GF that falls near to the prescribed inconsistent one. However, the result is not really predictable, often suffers from halo-effects and other local distortions at higher frequencies as well as from uncontrollable far-effects arising from local gradient-contradictions. The unfolding of these artifacts culminates in an undesired overall image appearance. None of the common GDI solvers can overcome these side-effects as they utilize the same local isotropic’coefficient-pattern’ in a sparse matrix description and they differ only in the numerical solution techniques. We present a powerful GDI method solving the problem completely in the gradient domain with gradient-variables and using spatially varying metrics that depends only on the starting inconsistent gradient field. After obtaining the nearest consistent gradient field with the pre-defined metrics we return into the image space by double integration that yields the wanted pixel intensity values. Our method delivers a great aesthetic enhancement by eliminating halo effects and saving small details, furthermore providing a realistic and pleasant overall light distribution at lower frequencies. By significantly extending the range of allowed inconsistency in the prescribed gradient field, it also allows for solving a large class of problems that proved hopeless beforehand. © The Eurographics Association 2010.

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A rectangle-intersection algorithm with limited resource requirements

A rectangle-intersection algorithm with limited resource req...

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10th IEEE International Conference on computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, 10th IEEE Int. Conf. Scalable Computing and Communications, ScalCom-2010

作者： Dévai, Frank Neumann, László Department of Informatics London South Bank University London United Kingdom ICREA Computer Vision and Robotics Group University of Girona Spain

ISBN: (纸本)9780769541082

It is demonstrated that power-efficient software also requires simplicity and the use of elementary data structures in addition to asymptotically optimal CPU and memory requirements. Though in the past few decades much effort has been devoted to reporting all k intersecting pairs in a planar set of n iso-oriented rectangles, all the known algorithms using elementary data structures, such as linked lists, are either not optimal, report some intersections repeatedly or fail to report some altogether. A simpler algorithm is proposed that uses only linear arrays and that takes O(n log n + k) time and O(n) space, which are the best possible under the algebraic RAM model of computation. The algorithm is designed for systems with limited resources, such as mobile 3D graphics, and can be implemented in less than 100 lines of Java code. © 2010 Crown Copyright.

关键词： Data structures

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A Rectangle-Intersection Algorithm with Limited Resource Requirements

A Rectangle-Intersection Algorithm with Limited Resource Req...

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International Conference on computer and Information Technology (CIT)

作者： Frank Dévai László Neumann Department of Informatics London South Bank University London UK ICREA and Computer Vision and Robotics Group University of Girona Spain ICREA and Computer Vision and Robotics Group University of Girona Spain

关键词： Arrays Algorithm design and analysis Java Software algorithms Software Rendering (computer graphics)

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Applications of High Precision Imaging Polarimetry

Applications of High Precision Imaging Polarimetry

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4th International Symposium on Computational Aesthetics in Graphics, Visualization, and Imaging, CAe 2008

作者： Neumann, L. Hegedus, R. Horvath, G. Garcia, R. Computer Vision and Robotics Group University of Girona Icrea Spain Department of Biological Physics Biooptics Laboratory Eötvös University Budapest Hungary Computer Vision and Robotics Group University of Girona Spain

ISBN: (纸本)9783905674088

We propose the use of imaging polarimetry for general photography, which is a relatively young technique allowing the determination of polarized components of the light coming from extended objects or scenes. In this paper high resolution and accurate methods are introduced to determine the two linearly polarized components (Q;U) of light. The CIE Luv color space is used in this work to visualize the triplet of (I;Q;U) polarization image components. The structure of this color space is also highly appropriate to represent other attributes of linearly polarized light, such as the polarized intensity, degree and the angle of polarization. The accurately measured polarization components can also be efficiently used for image enhancement. In this direction, a new, polarization-based de-reflection method is proposed. This method is an optimal pixel-wise extension of the widely used photographical polarization filtering. Our method is also capable of amplifying the specular effects. Another application is de-hazing, which removes the linearly polarized component of the haze present in natural scenes, and results in a sharp and color-corrected image. Furthermore, the different combinations of visible and infrared polarization channels enable great possibilities in further de-hazing and to create artistic images. © The Eurographics Association 2008.

关键词： Image enhancement

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