H
Humberto Bustince
Researcher at Universidad Pública de Navarra
Publications - 511
Citations - 18930
Humberto Bustince is an academic researcher from Universidad Pública de Navarra. The author has contributed to research in topics: Fuzzy set & Fuzzy logic. The author has an hindex of 63, co-authored 469 publications receiving 15234 citations. Previous affiliations of Humberto Bustince include University of Navarra & University of Technology, Sydney.
Papers
More filters
Journal ArticleDOI
Neuro-inspired edge feature fusion using Choquet integrals
Cedric Marco-Detchart,Giancarlo Lucca,Carlos Lopez-Molina,Laura De Miguel,Graçaliz Pereira Dimuro,Graçaliz Pereira Dimuro,Humberto Bustince +6 more
TL;DR: In this paper, a fully-framed edge detection algorithm is proposed to fuse elementary edge cues, in an attempt to model the behaviour of neurons in the early visual cortex, which leads to a state-of-the-art edge detection dataset.
Journal ArticleDOI
Image Thresholding Computation Using Atanassov’s Intuitionistic Fuzzy Sets
Journal ArticleDOI
Internal Fusion Functions
TL;DR: This paper introduces internal fusion functions, a family of fusion functions in which the output always corresponds to some of the given inputs, and proposes three different construction methods, which are based on an arbitrary fusion function and a partition of the domain.
Journal ArticleDOI
Segmentation of color images using a linguistic 2-tuples model
R. Orduna,Aranzazu Jurio,Daniel Paternain,Humberto Bustince,Pedro Melo-Pinto,Edurne Barrenechea +5 more
TL;DR: This paper addresses the problem of color image segmentation transforming it into a decision making paradigm by using a set of experts to represent the objects by means of fuzzy linguistic labels and using the decision-making model based on 2-tuples to classify each pixel.
Journal ArticleDOI
Aggregation functions and contradictory information
TL;DR: Bivariate aggregation functions are classified depending on the output they associate to contradictory couples of the form (x,N(x), where N is a strong negation, to analyze the behavior of aggregation functions when the inputs are contradictory.