Now showing items 1-11 of 11

    • Aggregation functions to combine RGB color channels in stereo matching 

      Galar Idoate, Mikel Upna; Jurío Munárriz, Aránzazu Upna; López Molina, Carlos Upna; Sanz Delgado, José Antonio Upna; Paternain Dallo, Daniel Upna; Bustince Sola, Humberto Upna (Optical Society of America, 2013)   Artículo / Artikulua  OpenAccess
      In this paper we present a comparison study between different aggregation functions for the combination of RGB color channels in stereo matching problem. We introduce color information from images to the stereo matching ...
    • Dealing with uncertainty: a human perception approach in image processing 

      Marco Detchart, Cedric Upna (2019)   Tesis doctoral / Doktoretza tesia
      Una de las maneras de abordar la comparación entre objetos es mediante el uso de la similitud (comparando sus atributos comunes) o la disimilitud (comparando sus diferencias). La similitud ha sido estudiada de maneras muy ...
    • Extensions of fuzzy sets in image processing: an overview 

      Pagola Barrio, Miguel Upna; Barrenechea Tartas, Edurne Upna; Bustince Sola, Humberto Upna; Fernández Fernández, Francisco Javier Upna; Galar Idoate, Mikel Upna; Jurío Munárriz, Aránzazu Upna; López Molina, Carlos Upna; Paternain Dallo, Daniel Upna; Sanz Delgado, José Antonio Upna; Couto, P.; Melo Pinto, P. (EUSFLAT, 2011)   Artículo / Artikulua  OpenAccess
      This work presents a valuable review for the interested reader of the recent Works using extensions of fuzzy sets in image processing. The chapter is divided as follows: first we recall the basics of the extensions of fuzzy ...
    • A framework for radial data comparison and its application to fingerprint analysis 

      Marco Detchart, Cedric Upna; Cerrón González, Juan Upna; Miguel Turullols, Laura de Upna; López Molina, Carlos Upna; Bustince Sola, Humberto Upna; Galar Idoate, Mikel Upna (Elsevier, 2016)   Artículo / Artikulua  OpenAccess
      This work tackles the comparison of radial data, and proposes comparison measures that are further applied to fingerprint analysis. First, we study the similarity of scalar and non-scalar radial data, elaborated on previous ...
    • Hyperspectral imaging to assess the presence of powdery mildew (Erysiphe necator) in cv. Carignan Noir grapevine bunches 

      Pérez Roncal, Claudia; López Maestresalas, Ainara Upna; López Molina, Carlos Upna; Jarén Ceballos, Carmen Upna; Urrestarazu Vidart, Jorge Upna; Santesteban García, Gonzaga Upna; Arazuri Garín, Silvia Upna (MDPI, 2020)   Artículo / Artikulua  OpenAccess
      Powdery mildew is a worldwide major fungal disease for grapevine, which adversely affects both crop yield and produce quality. Disease identification is based on visible signs of a pathogen once the plant has already been ...
    • Hyperspectral imaging using notions from type-2 fuzzy sets 

      López Maestresalas, Ainara; Miguel Turullols, Laura de Upna; López Molina, Carlos Upna; Arazuri Garín, Silvia Upna; Bustince Sola, Humberto Upna; Jarén Ceballos, Carmen Upna (Springer, 2019)   Artículo / Artikulua  OpenAccess
      Fuzzy set theory has developed a prolific armamentarium of mathematical tools for each of the topics that has fallen within its scope. One of such topics is data comparison, for which a range of operators has been presented ...
    • Image feature extraction using OD-monotone functions 

      Marco Detchart, Cedric Upna; López Molina, Carlos Upna; Fernández Fernández, Francisco Javier Upna; Pagola Barrio, Miguel Upna; Bustince Sola, Humberto Upna (Springer, 2018)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      Edge detection is a basic technique used as a preliminary step for, e.g., object extraction and recognition in image processing. Many of the methods for edge detection can be fit in the breakdown structure by Bezdek, ...
    • Multiscale edge detection using first-order derivative of anisotropic Gaussian kernels 

      Wang, Gang; López Molina, Carlos Upna; 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 ...
    • A survey of fingerprint classification Part I: taxonomies on feature extraction methods and learning models 

      Galar Idoate, Mikel Upna; Derrac, Joaquín; Peralta, Daniel; Triguero, Isaac; Paternain Dallo, Daniel Upna; López Molina, Carlos Upna; García, Salvador; Benítez, José Manuel; Pagola Barrio, Miguel Upna; Barrenechea Tartas, Edurne Upna; Bustince Sola, Humberto Upna; Herrera, Francisco (Elsevier, 2015)   Artículo / Artikulua  OpenAccess
      This paper reviews the fingerprint classification literature looking at the problem from a double perspective. We first deal with feature extraction methods, including the different models considered for singular point ...
    • A survey of fingerprint classification Part II: experimental analysis and ensemble proposal 

      Galar Idoate, Mikel Upna; Derrac, Joaquín; Peralta, Daniel; Triguero, Isaac; Paternain Dallo, Daniel Upna; López Molina, Carlos Upna; García, Salvador; Benítez, José Manuel; Pagola Barrio, Miguel Upna; Barrenechea Tartas, Edurne Upna; Bustince Sola, Humberto Upna; Herrera, Francisco (Elsevier, 2015)   Artículo / Artikulua  OpenAccess
      In the first part of this paper we reviewed the fingerprint classification literature from two different perspectives: the feature extraction and the classifier learning. Aiming at answering the question of which among the ...
    • Twofold binary image consensus for medical imaging meta-analysis 

      López Molina, Carlos Upna; Sánchez Ruiz de Gordoa, Javier; Zelaya Huerta, Victoria; 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 ...