Results 11 to 20 of about 24,390 (215)
Geodesic balls in a fuzzy set and fuzzy geodesic mathematical morphology [PDF]
Pattern Recognition, 2000 Abstract Although fuzzy operators have deserved a large attention in the Euclidean case, almost nothing exists concerning the geodesic case. In this paper, we address this question, by defining fuzzy geodesic distances between points in a fuzzy set, and geodesic balls in a fuzzy set (based on the comparison of fuzzy numbers), from which we derive ...
Isabelle Bloch
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Pseudo Overlap Functions, Fuzzy Implications and Pseudo Grouping Functions with Applications
Axioms, 2022 Overlap and grouping functions are important aggregation operators, especially in information fusion, classification and decision-making problems. However, when we do more in-depth application research (for example, non-commutative fuzzy reasoning ...
Xiaohong Zhang +6 more
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Linking Mathematical Morphology andL-Fuzzy Concepts [PDF]
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2017 In this paper we study the relation between L-fuzzy morphology and L-fuzzy concepts over complete lattices. In particular, we show how the erosion and dilation operators of the former can be understood in terms of the derivation operators of the latter, even when the set of objects is different from the set of attributes.
Alcalde, Cristina +4 more
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Gray Scale Edge Detection using Interval-Valued Fuzzy Relations [PDF]
International Journal of Computational Intelligence Systems, 2015 Gray scale edge detection can be modeled using Fuzzy Sets and, in particular, Interval-Valued Fuzzy Sets. This work is focused on studying the performance of several Interval-Valued Fuzzy Sets construction methods for detecting edges in a gray scale ...
Agustina Bouchet +5 more
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Fuzzy Morphological Polynomial Image Representation
EURASIP Journal on Advances in Signal Processing, 2010 A novel signal representation using fuzzy mathematical morphology is developed. We take advantage of the optimum fuzzy fitting and the efficient implementation of morphological operators to extract geometric information from signals.
Chaparro LuisF, Huang Chin-Pan
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Rough-fuzzy clustering and unsupervised feature selection for wavelet based MR image segmentation. [PDF]
PLoS ONE, 2015 Image segmentation is an indispensable process in the visualization of human tissues, particularly during clinical analysis of brain magnetic resonance (MR) images. For many human experts, manual segmentation is a difficult and time consuming task, which
Pradipta Maji, Shaswati Roy
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Journal of Materials Research and Technology, 2022 In this paper, the friction stir welding (FSW) process on a biomedical titanium sheet using tricalcium phosphate-titanium nanoparticles (TCP-TiNP) is performed.
Junsong Wu +5 more
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Frontiers in Energy Research, 2023 High-impedance fault (HIF) is always a threat and the biggest challenge in the power transmission and distribution system (PTDS). For a PTDS to operate effectively, HIF diagnosis is essential.
Rini Varghese P +7 more
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Linguistic Interpretation of Mathematical Morphology [PDF]
, 2013 Mathematical Morphology is a theory based on geometry, algebra, topology and set theory, with strong application to digital image processing. This theory is characterized by two basic operators: dilation and erosion.
Ballarin, Virginia +4 more
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Medicine in Novel Technology and Devices, 2023 It is difficult to use a single edge operator in image processing to extract continuous and accurate contours of a porous bioelastomer due to the fuzzy boundary and complex background in ultrasound images.
Dun Wang +7 more
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