Results 11 to 20 of about 4,289,464 (313)
Entropy, 2018 A damage degree identification method based on high-order difference mathematical morphology gradient spectrum entropy (HMGSEDI) is proposed in this paper to solve the problem that fault signal of rolling bearings are weak and difficult to be ...
Huimin Zhao +5 more
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Microgrid Islanding Detection Based on Mathematical Morphology
Energies, 2018 Voltage and frequency stability are highly important for reliable performance of smart grids. In grid-connected mode, the utility controls these parameters, but when islanding occurs these parameters exceed their limits, which may result in irreparable ...
Fatemeh Ghalavand +3 more
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Dimensional operators for mathematical morphology on simplicial complexes [PDF]
arXiv, 2014 International audienceIn this work we study the framework of mathematical morphology on simplicial complex spaces. Simplicial complexes are widely used to represent multidimensional data, such as meshes, that are two dimensional complexes, or graphs ...
Cousty, Jean +2 more
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Mathematical morphology and poset geometry [PDF]
International Journal of Mathematics and Mathematical Sciences, 2001 The aim of this paper is to characterize morphological convex geometries (resp., antimatroids). We define these two structures by using closure operators, and kernel operators. We show that these convex geometries are equivalent to poset geometries.
Alain Bretto, Enzo M. Li Marzi
openalex +2 more sources
Recent Advances of Malaria Parasites Detection Systems Based on Mathematical Morphology
Sensors, 2018 Malaria is an epidemic health disease and a rapid, accurate diagnosis is necessary for proper intervention. Generally, pathologists visually examine blood stained slides for malaria diagnosis.
Andrea Loddo +2 more
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Gap Measurement of Point Machine Using Adaptive Wavelet Threshold and Mathematical Morphology
Sensors, 2016 A point machine’s gap is an important indication of its healthy status. An edge detection algorithm is proposed to measure and calculate a point machine’s gap from the gap image captured by CCD plane arrays.
Tianhua Xu +4 more
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Combining Deep Learning and Mathematical Morphology for Historical Map Segmentation [PDF]
International Joint Conference on Discrete Geometry and Mathematical Morphology, 2021 The digitization of historical maps enables the study of ancient, fragile, unique, and hardly accessible information sources. Main map features can be retrieved and tracked through the time for subsequent thematic analysis.
Yizi Chen +5 more
semanticscholar +1 more source
Neutrosophic Algebraic Mathematical Morphology [PDF]
Neutrosophic Sets and Systems, 2023 In this paper, we introduce and study the NeutroAlgebra structure and many of operations and properties of the mathematical morphology. This is a generalization of the operations of fuzzy and classical mathematical morphology.
A. A. Salama +4 more
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ROAD SEGMENTATION ON LOW RESOLUTION LIDAR POINT CLOUDS FOR AUTONOMOUS VEHICLES [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Point cloud datasets for perception tasks in the context of autonomous driving often rely on high resolution 64-layer Light Detection and Ranging (LIDAR) scanners.
L. Gigli +6 more
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Image Analysis and Stereology, 2022 Cell counting is an important step in many biological experiments. It can be challenging, due to the large variability in contrast and shape of the cells, especially when their density is so high that the cells are closely packed together.
Tristan Lazard +6 more
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