1,721,118 research outputs found
Numerical Mathematics: Theory , Methods and Applications Special issue on Image Processing and Computer Vision
Preface
Special Issue on Image Processing and Computer Vision
Current developments in imaging and multimedia technologies and rapid advances in vision research have led to an explosive growth in the interdisciplinary field of imaging science. Mathematical and numerical techniques applied to vision and imaging problems llead to the solution of challenging problems and innovative applications. Its vast application
area touches many important industry fields that are important for our daily life include medical imaging and analysis, media formation and processing, internet communication, virtual reality, geophysical prospection and remote sensing as well as vision and data understanding.
This special issue focuses on the latest efforts and results in addressing numerical image processing and shape analysis issues. These articles cover in depth many of the mathematical techniques used in image processing and computer vision, including segmentation, surface registration and matching, image denoising and deblurring. They highlight a diverse
array of mathematical and numerical approaches: state-of-the-art algorithms for numerical schemes for image processing and vision analysis. Also described are cutting-edge methods for image registration and segmentation—indispensable steps in advanced image and vision applications. The content of this special issue gives a good introduction and
coverage of the newest developments in this field. We hope that the contents of this issue will pique the interest of mathematicians as well as real practitioners and imagers alike.
The articles in this special issue grow out from talks and contributions given at the SSVM 2011 (Third International Conference on Scale Space and Variational Methods In Computer Vision) as well as other contributions from our call for the special issue. All the articles have gone through a rigorous review procedure that is the same as other regular articles for the journal. The guest editors would like to thank the authors for their contributions
to the special issue and all the reviewers who provided their constructive criticism, thorough reviews, and their valuable time. We are also grateful to the journal editorial staff for their help in the preparation of this special issue.
Fiorella Sgallari
University of Bologna
Xue-Cheng Tai
University of Berge
An edge-preserving multilevel method for deblurring, denoising, and segmentation
We present a fast edge-preserving cascadic multilevel image
restoration method for reducing blur and noise in contaminated images.
The method also can be applied to segmentation. Our multilevel method
blends linear algebra and partial differential equation techniques. Regu-
larization is achieved by truncated iteration on each level. Prolongation is
carried out by nonlinear edge-preserving and noise-reducing operators. A
thresholding updating technique is shown to reduce “ringing” artifacts.
Our algorithm combines deblurring, denoising, and segmentation within
a single framework
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Introduction
This special issue of AADA is devoted to the research topics presented in the highly stimulating international workshop on "Sparse Representation of Multiscale Data and Images: Theory and Applications", which was held in the Institute for Advanced Studies at the Nanyang Technological University (NTU) at Singapore from December 14 to 17, 2009. This workshop was co organized by Thomas Hou (Caltech, USA) and Xue-Cheng Tai (NTU, Singarpore)
Introduction
This special issue of AADA is devoted to the research topics presented in the
highly stimulating international workshop on “Sparse Representation of Multiscale
Data and Images: Theory and Applications”, which was held in the Institute for
Advanced Studies at the Nanyang Technological University (NTU) at Singapore
from December 14 to 17, 2009. This workshop was coorganized by Thomas Hou
(Caltech, USA) and Xue-Cheng Tai (NTU, Singapore)
Efficient Algorithms for Global Optimisation Methods in Computer Vision (Dagstuhl Seminar 11471)
This report documents the program and the results of Dagstuhl Seminar 11471
Efficient Algorithms for Global Optimisation Methods in Computer Vision,
taking place November 20-25 in 2011. The focus of the seminar was to discuss
the design of efficient computer vision algorithms based on global optimisation
methods in the context of the entire design pipeline. Since there is no
such conference that deals with all aspects of the design process -- modelling,
mathematical analysis, numerical solvers, and parallelisation -- the seminar aimed at bringing together researchers from computer science and mathematics covering all four fields
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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