Fuentes González, Ramón
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Fuentes González
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Ramón
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Automática y Computación
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Publication Open Access Fuzzy morphological operators in image processing(Universitat Politècnica de Catalunya, 2003) Burillo López, Pedro; Frago Paños, Noé Natalio; Fuentes González, Ramón; Automática y Computación; Automatika eta KonputazioaFirst of all, in this paper we propose a family of fuzzy implication operators, which the generalised Luckasiewicz´s one, and to analyse the impacts of Smets and Magrez properties on these operators. The result of this approach will be a characterisation of a proposed family of inclusion grade operators (in Bandler and Kohout´s manner) that satisfies the axioms of Divyendu and Dogherty. Second, we propose a method to define fuzzy morphological operators (erosions and dilations). A family of fuzzy implication operators and the inclusion grade are the basis for this method.Publication Open Access Descubrimiento de conocimiento en bases de datos utilizando técnicas de morfología matemática borrosa(Centro de Información Tecnológica, 2007) Frago Paños, Noé Natalio; Fuentes González, Ramón; Automática y Computación; Automatika eta KonputazioaEn este artículo se analiza el efecto, la utilidad y la interpretación de los filtros asociados a la Morfología Matemática Borrosa en procesos de Descubrimiento de Conocimiento en Bases de Datos. En particular se estudian los operadores morfológicos erosión, dilatación, apertura, cierre, Top-Hat y Hit-or-Miss. Usando información de las bases de datos y relaciones binarias ordinarias como elementos estructurales, se implementan algunos de estos filtros. Con esta implementación se justifica que, con estos filtros morfológicos, pueden analizarse datos estructurados como tabla de registros, obteniéndose información útil no evidente. Finalmente se analizan diversas características de los operadores definidos, ilustrando los resultados con un ejemplo.Publication Open Access On fuzzy orderings of crisp and fuzzy intervals(EUSFLAT, 2001) Fuentes González, Ramón; Burillo López, Pedro; Mayor, Gaspar; Automática y Computación; Automatika eta KonputazioaFirst, fuzzy membership functions for the assertion '[x,y] is a positive interval' are proposed and characterized via non-decreasing real maps. Last, using those functions together with the intervaldifference and the notion of average index, comparison indexes between intervals and the ones between fuzzy intervals are proposed.Publication Open Access On contrast intensification operators and fuzzy equality relations(Universitat Politècnica de Catalunya, 2000) Burillo López, Pedro; Fuentes González, Ramón; González, L.; Marín Martínez, Ángel; Automática y Computación; Automatika eta KonputazioaThe class of contrast intensification operators is formally defined and its lattice structure studied. The effect of these operators in the referential classification derived from special kinds of fuzzy relations is also determined. Results and examples are presented providing contrast intensification operators which keep quasi-uniformity structures generated by fuzzy relations while diminishing the fuzziness or the entropy of the relations.Publication Open Access Generation of fuzzy mathematical morphologies(Universitat Politècnica de Catalunya, 2001) Burillo López, Pedro; Frago Paños, Noé Natalio; Fuentes González, Ramón; Automática y Computación; Automatika eta KonputazioaFuzzy Mathematical Morphology aims to extend the binary morphological operators to grey-level images. In order to define the basic morphological operations fuzzy erosion, dilation, opening and closing, we introduce a general method based upon fuzzy implication and inclusion grade operators, including as particular case, other ones existing in related literature In the definition of fuzzy erosion and dilation we use several fuzzy implications (Annexe A, Table of fuzzy implications), the paper includes a study on their practical effects on digital image processing. We also present some graphic examples of erosion and dilation with three different structuring elements B(i,j)=1, B(i,j)=0.7, B(i,j)=0.4, i,j∈{1,2,3} and various fuzzy implications.