• Aggregation functions to combine RGB color channels in stereo matching 

      Galar Idoate, Mikel Upna Orcid; Jurío Munárriz, Aránzazu Upna Orcid; López Molina, Carlos Upna Orcid; Sanz Delgado, José Antonio Upna Orcid; Paternain Dallo, Daniel Upna Orcid; Bustince Sola, Humberto Upna Orcid (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 ...
    • Evaluation of near-infrared hyperspectral imaging for the assessment of potato processing aptitude 

      López Maestresalas, Ainara Upna Orcid; López Molina, Carlos Upna Orcid; Oliva Lobo, Gil Alfonso; Jarén Ceballos, Carmen Upna Orcid; Ruiz de Galarreta, José Ignacio Upna; Peraza Alemán, Carlos Miguel; Arazuri Garín, Silvia Upna Orcid (Frontiers Media, 2022)   Artículo / Artikulua  OpenAccess
      The potato (Solanum tuberosum L.) is the world's fifth most important staple food with high socioeconomic relevance. Several potato cultivars obtained by selection and crossbreeding are currently on the market. This diversity ...
    • Exploring the potential of hyperspectral imaging to detect Esca disease complex in asymptomatic grapevine leaves 

      Pérez Roncal, Claudia Upna Orcid; Arazuri Garín, Silvia Upna Orcid; López Molina, Carlos Upna Orcid; Jarén Ceballos, Carmen Upna Orcid; Santesteban García, Gonzaga Upna Orcid; López Maestresalas, Ainara Upna Orcid (Elsevier, 2022)   Artículo / Artikulua  OpenAccess
      Precise and reliable identification of specific plant diseases is a challenge within precision agriculture nowadays. This is the case of esca, a complex grapevine trunk disease, that represents a major threat to modern ...
    • Extensions of fuzzy sets in image processing: an overview 

      Pagola Barrio, Miguel Upna Orcid; Barrenechea Tartas, Edurne Upna Orcid; Bustince Sola, Humberto Upna Orcid; Fernández Fernández, Francisco Javier Upna Orcid; Galar Idoate, Mikel Upna Orcid; Jurío Munárriz, Aránzazu Upna Orcid; López Molina, Carlos Upna Orcid; Paternain Dallo, Daniel Upna Orcid; Sanz Delgado, José Antonio Upna Orcid; 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 Orcid; Cerrón González, Juan Upna; Miguel Turullols, Laura de Upna Orcid; López Molina, Carlos Upna Orcid; Bustince Sola, Humberto Upna Orcid; Galar Idoate, Mikel Upna Orcid (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 ...
    • From restricted equivalence functions on Ln to similarity measures between fuzzy multisets 

      Ferrero Jaurrieta, Mikel; Takáč, Zdenko; Rodríguez Martínez, Iosu Upna Orcid; Marco Detchart, Cedric; Bernardini, Ángela; Fernández Fernández, Francisco Javier Upna Orcid; López Molina, Carlos Upna Orcid; Bustince Sola, Humberto Upna Orcid (IEEE, 2023)   Artículo / Artikulua  OpenAccess
      Restricted equivalence functions are well-known functions to compare two numbers in the interval between 0 and 1. Despite the numerous works studying the properties of restricted equivalence functions and their multiple ...
    • Hyperspectral imaging to assess the presence of powdery mildew (Erysiphe necator) in cv. Carignan Noir grapevine bunches 

      Pérez Roncal, Claudia Upna Orcid; López Maestresalas, Ainara Upna Orcid; López Molina, Carlos Upna Orcid; Jarén Ceballos, Carmen Upna Orcid; Urrestarazu Vidart, Jorge Upna Orcid; Santesteban García, Gonzaga Upna Orcid; Arazuri Garín, Silvia Upna Orcid (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 Upna Orcid; Miguel Turullols, Laura de Upna Orcid; López Molina, Carlos Upna Orcid; Arazuri Garín, Silvia Upna Orcid; Bustince Sola, Humberto Upna Orcid; Jarén Ceballos, Carmen Upna Orcid (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 ...
    • Hyperspectral system trade-offs for illumination, hardware and analysis methods: a case study of seed mix ingredient discrimination 

      Blanch Pérez del Notario, Carolina; López Molina, Carlos Upna Orcid; Lambrechts, Andy; Saeys, Wouter (IM Publications, 2020)   Artículo / Artikulua  OpenAccess
      The discrimination power of a hyperspectral imaging system for image segmentation or object detection is determined by the illumination, the camera spatial–spectral resolution, and both the pre-processing and analysis ...
    • Is the phenotype designation by PSP-MDS criteria stable throughout the disease course and consistent with tau distribution? 

      Sánchez Ruiz de Gordoa, Javier Upna Orcid; Zelaya Huerta, María Victoria Upna Orcid; Tellechea-Aramburo, Paula; Acha Santamaría, Blanca Upna Orcid; Roldán, Miren; López Molina, Carlos Upna Orcid; Coca, Valle; Galbete Jiménez, Arkaitz Upna Orcid; Mendióroz Iriarte, Maite; Erro Aguirre, María Elena (Frontiers Media, 2022)   Artículo / Artikulua  OpenAccess
      Introduction: the MDS-PSP criteria have shown high sensitivity for the PSP diagnosis, but do not discriminate the phenotype diversity. Our purpose was to search for anatomopathological differences among PSP phenotypes ...
    • 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 ...
    • Neuro-inspired edge feature fusion using Choquet integrals 

      Marco Detchart, Cedric Upna Orcid; Lucca, Giancarlo; López Molina, Carlos Upna Orcid; Miguel Turullols, Laura de Upna Orcid; Pereira Dimuro, Graçaliz Upna Orcid; Bustince Sola, Humberto Upna Orcid (Elsevier, 2021)   Artículo / Artikulua  OpenAccess
      It is known that the human visual system performs a hierarchical information process in which early vision cues (or primitives) are fused in the visual cortex to compose complex shapes and descriptors. While different ...
    • Non-symmetric over-time pooling using pseudo-grouping functions for convolutional neural networks 

      Ferrero Jaurrieta, Mikel; Paiva, Rui; Cruz, Anderson; Bedregal, Benjamin Upna Orcid; Miguel Turullols, Laura de Upna Orcid; Takáč, Zdenko; López Molina, Carlos Upna Orcid; Bustince Sola, Humberto Upna Orcid (Elsevier, 2024)   Artículo / Artikulua
      Convolutional Neural Networks (CNNs) are a family of networks that have become state-of-the-art in several fields of artificial intelligence due to their ability to extract spatial features. In the context of natural ...
    • 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 ...
    • A survey of fingerprint classification Part I: taxonomies on feature extraction methods and learning models 

      Galar Idoate, Mikel Upna Orcid; Derrac, Joaquín; Peralta, Daniel; Triguero, Isaac; Paternain Dallo, Daniel Upna Orcid; López Molina, Carlos Upna Orcid; García, Salvador; Benítez, José Manuel; Pagola Barrio, Miguel Upna Orcid; Barrenechea Tartas, Edurne Upna Orcid; Bustince Sola, Humberto Upna Orcid; 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 Orcid; Derrac, Joaquín; Peralta, Daniel; Triguero, Isaac; Paternain Dallo, Daniel Upna Orcid; López Molina, Carlos Upna Orcid; García, Salvador; Benítez, José Manuel; Pagola Barrio, Miguel Upna Orcid; Barrenechea Tartas, Edurne Upna Orcid; Bustince Sola, Humberto Upna Orcid; 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 ...
    • 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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