Results 11 to 20 of about 60,078 (257)
Paris-CARLA-3D: A Real and Synthetic Outdoor Point Cloud Dataset for Challenging Tasks in 3D Mapping
Remote Sensing, 2021 Paris-CARLA-3D is a dataset of several dense colored point clouds of outdoor environments built by a mobile LiDAR and camera system. The data are composed of two sets with synthetic data from the open source CARLA simulator (700 million points) and real ...
Jean-Emmanuel Deschaud +5 more
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Mathematical morphology on directional data
Journal of Mathematical Imaging and Vision, 2022 Abstract We define morphological operators and filters for directional images whose pixel values are unit vectors. This requires an ordering relation for unit vectors which is obtained by using depth functions. They provide a centre-outward ordering with respect to a specified centre vector.
Konstantin Hauch, Claudia Redenbach
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Neutrosophic Crisp Mathematical Morphology [PDF]
Neutrosophic Sets and Systems, 2017 In this paper, we aim to apply the concepts of the neutrosophic crisp sets and its operations to the classical mathematical morphological operations, introducing what we call "Neutrosophic Crisp Mathematical Morphology".
Eman. M.El-Nakeeb +3 more
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Riemannian mathematical morphology [PDF]
Pattern Recognition Letters, 2014 This paper introduces mathematical morphology operators for real-valued images whose support space is a Riemannian manifold. The starting point consists in replacing the Euclidean distance in the canonical quadratic structuring function by the Riemannian distance used for the adjoint dilation/erosion. We then extend the canonical case to a most general
Jesús Angulo, Santiago Velasco-Forero
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On Nonlocal Mathematical Morphology [PDF]
, 2013 In this paper, nonlocal mathematical morphology operators are introduced as a natural extension of nonlocal-means in the max-plus algebra. Firstly, we show that nonlocal morphology is a particular case of adaptive morphology. Secondly, we present the necessary properties to have algebraic properties on the associated pair of transformations.
Santiago Velasco-Forero, Jesús Angulo
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N-ary Mathematical Morphology [PDF]
Mathematical Morphology - Theory and Applications, 2015 Abstract Mathematical morphology on binary images can be fully described by set theory. However, it is not sufficient to formulate mathematical morphology for grey scale images. This type of images requires the introduction of the notion of partial order of grey levels, together with the definition of sup and inf operators.
Chevallier, Emmanuel +2 more
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Fractal and Fractional, 2023 As special aggregation functions, overlap functions have been widely used in the soft computing field. In this work, with the aid of overlap functions, two new groups of fuzzy mathematical morphology (FMM) operators were proposed and applied to image ...
Xiaohong Zhang, Mengyuan Li, Hui Liu
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MORPHOLOGICAL MODELING OF COLD SPRAY COATINGS
Image Analysis and Stereology, 2018 In this article, we study the microstructure of cold sprayed films of copper particles deposited onto a carbon fiber reinforced polymer. The microstructure of the coating is made of a packing of seemingly round-shaped particles of varying sizes embedded ...
Vincent Bortolussi +4 more
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Aspects of mathematical morphology [PDF]
, 2003 In this paper we review the basic concepts of integral-geometry-based morphological image analysis. This approach yields an objective, numerical characterization of two- and three-dimensional patterns in terms of geometrical and topological descriptors called Minkowski functionals.
Michielsen, K.F L +2 more
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Nonlocal and multivariate mathematical morphology [PDF]
2012 19th IEEE International Conference on Image Processing, 2012 The generalization of mathematical morphology to multivariate images is addressed in this paper. The proposed approach is fully unsupervised and consists in constructing a complete lattice from an image as a rank transformation together with a learned ordering of vectors. This unsupervised ordering of vectors relies on three steps: dictionary learning,
Olivier Lezoray, Abderrahim Elmoataz
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