Browsing by UPNA Author "López Molina, Carlos"
Now showing items 1-11 of 11
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Aggregation functions to combine RGB color channels in stereo matching
Galar Idoate, Mikel
; Jurío Munárriz, Aránzazu ; López Molina, Carlos ; Sanz Delgado, José Antonio ; Paternain Dallo, Daniel ; Bustince Sola, Humberto (Optical Society of America, 2013)
Artículo / Artikulua 
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 (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; Barrenechea Tartas, Edurne ; Bustince Sola, Humberto ; Fernández Fernández, Francisco Javier ; Galar Idoate, Mikel ; Jurío Munárriz, Aránzazu ; López Molina, Carlos ; Paternain Dallo, Daniel ; Sanz Delgado, José Antonio ; Couto, P.; Melo Pinto, P. (EUSFLAT, 2011)
Artículo / Artikulua
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; Cerrón González, Juan ; Miguel Turullols, Laura de ; López Molina, Carlos ; Bustince Sola, Humberto ; Galar Idoate, Mikel (Elsevier, 2016)
Artículo / Artikulua
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 ; López Molina, Carlos ; Jarén Ceballos, Carmen ; Urrestarazu Vidart, Jorge ; Santesteban García, Gonzaga ; Arazuri Garín, Silvia (MDPI, 2020)
Artículo / Artikulua
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 ; López Molina, Carlos ; Arazuri Garín, Silvia ; Bustince Sola, Humberto ; Jarén Ceballos, Carmen (Springer, 2019)
Artículo / Artikulua
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; López Molina, Carlos ; Fernández Fernández, Francisco Javier ; Pagola Barrio, Miguel ; Bustince Sola, Humberto (Springer, 2018)
Contribución a congreso / Biltzarrerako ekarpena
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; Baets, Bernard de (Springer, 2019)
Artículo / Artikulua
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; Derrac, Joaquín; Peralta, Daniel; Triguero, Isaac; Paternain Dallo, Daniel ; López Molina, Carlos ; García, Salvador; Benítez, José Manuel; Pagola Barrio, Miguel ; Barrenechea Tartas, Edurne ; Bustince Sola, Humberto ; Herrera, Francisco (Elsevier, 2015)
Artículo / Artikulua
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; Derrac, Joaquín; Peralta, Daniel; Triguero, Isaac; Paternain Dallo, Daniel ; López Molina, Carlos ; García, Salvador; Benítez, José Manuel; Pagola Barrio, Miguel ; Barrenechea Tartas, Edurne ; Bustince Sola, Humberto ; Herrera, Francisco (Elsevier, 2015)
Artículo / Artikulua
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; Sánchez Ruiz de Gordoa, Javier; Zelaya Huerta, Victoria; Baets, Bernard de (Springer, 2018)
Contribución a congreso / Biltzarrerako ekarpena
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 ...
