Listar Dpto. Estadística, Informática y Matemáticas - Estatistika, Informatika eta Matematika Saila [desde mayo 2018 / 2018ko maiatzetik] por autor "Baets, Bernard de"

Mostrando ítems 1-6 de 6

    • Content-aware image smoothing based on fuzzy clustering 

      Antunes Dos Santos, Felipe; López Molina, Carlos Upna Orcid; Mir Fuentes, Arnau; Mendióroz Iriarte, Maite; Baets, Bernard de (Springer, 2022)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      Literature contains a large variety of content-aware smoothing methods. As opposed to classical smoothing methods, content-aware ones intend to regularize the image while avoiding the loss of relevant visual information. ...

    • Distance transformations based on ordered weighted averaging operators 

      López Molina, Carlos Upna Orcid; Miguel Turullols, Laura de Upna Orcid; Iglesias Rey, Sara Upna Orcid; Bustince Sola, Humberto Upna Orcid; Baets, Bernard de (University of Hawaii Press, 2021)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      Binary image comparison has been a study subject for a long time, often rendering in context-specific solutions that depend upon the type of visual contents in the binary images. Distance transformations have been a recurrent ...

    • Multiscale edge detection using first-order derivative of anisotropic Gaussian kernels 

      Wang, Gang; López Molina, Carlos Upna Orcid; Baets, Bernard de (Springer, 2019)   Artículo / Artikulua  OpenAccess
      Spatially scaled edges are ubiquitous in natural images. To better detect edges with heterogeneous widths, in this paper, we propose a multiscale edge detection method based on first-order derivative of anisotropic Gaussian ...

    • On the role of distance transformations in Baddeley's Delta Metric 

      López Molina, Carlos Upna Orcid; Iglesias Rey, Sara Upna Orcid; Bustince Sola, Humberto Upna Orcid; Baets, Bernard de (Elsevier, 2021)   Artículo / Artikulua  OpenAccess
      Comparison and similarity measurement have been a key topic in computer vision for a long time. There is, indeed, an extensive list of algorithms and measures for image or subimage comparison. The superiority or inferiority ...

    • Twofold binary image consensus for medical imaging meta-analysis 

      López Molina, Carlos Upna Orcid; Sánchez Ruiz de Gordoa, Javier Upna Orcid; Zelaya Huerta, María Victoria Upna Orcid; Baets, Bernard de (Springer, 2018)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      In the field of medical imaging, ground truth is often gathered from groups of experts, whose outputs are generally heterogeneous. This procedure raises questions on how to compare the results obtained by automatic algorithms ...

    • Ultrametrics for context-aware comparison of binary images 

      López Molina, Carlos Upna Orcid; Iglesias Rey, Sara Upna Orcid; Baets, Bernard de (Elsevier, 2024)   Artículo / Artikulua  OpenAccess
      Quantitative image comparison has been a key topic in the image processing literature for the past 30 years. The reasons for it are diverse, and so is the range of applications in which measures of comparison are needed. ...
      El Repositorio ha recibido la ayuda de la Fundación Española para la Ciencia y la Tecnología para la realización de actividades en el ámbito del fomento de la investigación científica de excelencia, en la Línea 2. Repositorios institucionales (convocatoria 2020-2021).
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