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A framework for active contour initialization with application to liver segmentation in MRI
(Springer, 2022)
Contribución a congreso / Biltzarrerako ekarpena,
Object segmentation is a prominent low-level task in image processing and computer vision. A technique of special relevance within segmentation algorithms is active contour modeling. An active contour is a closed contour ...
Sobre órdenes admisibles en el conjunto de números borrosos discretos y su aplicación en problemas de toma de decisiones
(Universidad de Málaga, 2021)
Contribución a congreso / Biltzarrerako ekarpena,
Este trabajo es un resumen del artículo [1] publicado
en Mathematics para su presentación en la Multiconferencia CAEPIA’21 KeyWorks.
Gated local adaptive binarization using supervised learning
(CEUR Workshop Proceedings (CEUR-WS.org), 2021)
info:eu-repo/semantics/conferenceObject,
Image thresholding is one of the most popular problems in image processing. However, changes inlightning and contrast in an image can cause trouble for the existing algorithms that use a global threshold for all the image. ...
Fuzzy sets complement-based gated recurrent unit
(CEUR Workshop Proceedings (CEUR-WS.org), 2021)
info:eu-repo/semantics/conferenceObject,
Gated Recurrent Units (GRU) are neural network gated architectures that simplify other ones (suchas, LSTM) by joining gates mainly. For this, instead of using two gates, if𝑥is the first gate, standardoperation1−𝑥is used ...
General grouping functions
(Springer, 2020)
info:eu-repo/semantics/conferenceObject,
Some aggregation functions that are not necessarily associative, namely overlap and grouping functions, have called the attention of many researchers in the recent past. This is probably due to the fact that they are a ...
Dissimilarity based choquet integrals
(Springer, 2020)
info:eu-repo/semantics/conferenceObject,
In this paper, in order to generalize the Choquet integral, we replace the difference between inputs in its definition by a restricted dissimilarity function and refer to the obtained function as d-Choquet integral. For ...
New classes of the moderate deviation functions
(Springer Nature, 2021)
Contribución a congreso / Biltzarrerako ekarpena,
At present, in the field of aggregation of various input values, attention is focused on the construction of aggregation functions using other functions that can affect the resulting aggregated value. This resulting value ...
Local properties of strengthened ordered directional and other forms of monotonicity
(Springer, 2019)
info:eu-repo/semantics/conferenceObject,
In this study we discuss some of the recent generalized forms of monotonicity, introduced in the attempt of relaxing the monotonicity condition of aggregation
functions. Specifically, we deal with weak, directional, ordered ...
Image feature extraction using OD-monotone functions
(Springer, 2018)
info:eu-repo/semantics/conferenceObject,
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, ...
T-overlap functions: a generalization of bivariate overlap functions by t-norms
(Springer, 2018)
info:eu-repo/semantics/conferenceObject,
This paper introduces a generalization of overlap functions by extending one of the boundary conditions of its definition. More specifically, instead of requiring that 'the considered function is equal to zero if and only ...