Results 21 to 30 of about 4,289,464 (313)
Shortest Length Total Orders Do Not Minimize Irregularity in Vector-Valued Mathematical Morphology [PDF]
Proceeding Series of the Brazilian Society of Computational and
Applied Mathematics (CNMAC 2023), 2023 Mathematical morphology is a theory concerned with non-linear operators for image processing and analysis. The underlying framework for mathematical morphology is a partially ordered set with well-defined supremum and infimum operations. Because vectors can be ordered in many ways, finding appropriate ordering schemes is a major challenge in ...
arxiv +1 more source
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
doaj +1 more source
Panoramic Dental Radiography Image Enhancement Using Multiscale Mathematical Morphology
Italian National Conference on Sensors, 2021 Panoramic dental radiography is one of the most used images of the different dental specialties. This radiography provides information about the anatomical structures of the teeth.
Julio César Mello Román +8 more
semanticscholar +1 more source
A Bayesian Approach to Morphological Models Characterization
Image Analysis and Stereology, 2021 Morphological models are commonly used to describe microstructures observed in heterogeneous materials. Usually, these models depend upon a set of parameters that must be chosen carefully to match experimental observations conducted on the microstructure.
Bruno Figliuzzi +6 more
doaj +1 more source
Fast Road Network Extraction in Satellite Images Using Mathematical Morphology and Markov Random Fields [PDF]
EURASIP Journal on Advances in Signal Processing, 2004 We present a fast method for road network extraction in satellite images. It can be seen as a transposition of the segmentation scheme "watershed transform region adjacency graph Markov random fields" to the extraction of curvilinear objects.
Thierry Géraud, Jean-Baptiste Mouret
openalex +2 more sources
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
doaj +1 more source
IEEE Access, 2020 The permanency of highly-reliable power supply is a core trait of an electric power transmission network. A transmission line is the main part of this network through which power is transmitted to the utility.
Revati Godse, S. Bhat
semanticscholar +1 more source
Logarithmic Morphological Neural Nets robust to lighting variations [PDF]
Discrete Geometry and Mathematical Morphology. DGMM 2022., 13493,
Springer, 2022, Lecture Notes in Computer Science, 2022 Morphological neural networks allow to learn the weights of a structuring function knowing the desired output image. However, those networks are not intrinsically robust to lighting variations in images with an optical cause, such as a change of light intensity.
arxiv +1 more source
Hyperspectral Image Classification Based on Mathematical Morphology and Tensor Decomposition
Mathematical Morphology - Theory and Applications, 2020 Hyperspectral Image (HSI) classification refers to classifying hyperspectral data into features, where labels are given to pixels sharing the same features, distinguishing the present materials of the scene from one another.
Mohamad Jouni, M. Mura, P. Comon
semanticscholar +1 more source
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
doaj +1 more source