Mathematical morphology-based local fault detection in DC Microgrid clusters
, 2020 A new local current-based fast high impedance fault (HIF) detection scheme for DC microgrid clusters using mathematical morphology (MM) is proposed in this paper. The proposed strategy consists of two MM based parts.
Navid Bayati +4 more
semanticscholar +1 more source
3D RECONSTRUCTION OF A MULTISCALE MICROSTRUCTURE BY ANISOTROPIC TESSELLATION MODELS
Image Analysis and Stereology, 2014 In the area of tessellation models, there is an intense activity to fully understand the classical models of Voronoi, Laguerre and Johnson-Mehl. Still, these models are all simulations of isotropic growth and are therefore limited to very simple and ...
Hellen Altendorf +4 more
doaj +1 more source
EIKONAL-BASED MODELS OF RANDOM TESSELLATIONS
Image Analysis and Stereology, 2019 In this article, we propose a novel, efficient method for computing a random tessellation from its vectorial representation at each voxel of a discretized domain.
Bruno Figliuzzi
doaj +1 more source
Virtual cardiac monolayers for electrical wave propagation [PDF]
, 2017 The complex structure of cardiac tissue is considered to be one of the main determinants of an arrhythmogenic substrate. This study is aimed at developing the first mathematical model to describe the formation of cardiac tissue, using a joint in silico ...
Agladze, Konstantin +3 more
core +1 more source
Processing of microCT implant-bone systems images using Fuzzy Mathematical Morphology [PDF]
, 2016 The relationship between a metallic implant and the existing bone in a surgical permanent prosthesis is of great importance since the fixation and osseointegration of the system leads to the failure or success of the ...
Ballarre, Josefina +4 more
core +1 more source
A novel clustering algorithm based on mathematical morphology for wind power generation prediction
Renewable Energy, 2019 Wind power has the characteristic of daily similarity. Furthermore, days with wind power variation trends reflect similar meteorological phenomena.
Ying Hao +5 more
semanticscholar +1 more source
SAR Image Change Detection Based on Mathematical Morphology and the K-Means Clustering Algorithm
IEEE Access, 2019 Synthetic aperture radar (SAR) images have been applied in disaster monitoring and environmental monitoring. With the objective of reducing the effect of noise on SAR image change detection, this paper presents an approach based on mathematical ...
Luyang Liu +3 more
semanticscholar +1 more source
MATHEMATICAL MORPHOLOGY IN THE CIELAB SPACE
Image Analysis and Stereology, 2011 The use of mathematical morphology in the CIE L*a*b* colour space is discussed. It is possible to impose a total order on the colour vectors in this space by using a weighting function and lexicographical order.
Allan Hanbury, Jean Serra
doaj +1 more source
A Theoretical Analysis of Granulometry-Based Roughness Measures on Cartosat DEMs
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 The study of water bodies such as rivers is an important problem in the remote sensing community. A meaningful set of quantitative features reflecting the geophysical properties help us better understand the formation and evolution of rivers.
Kannan Nagajothi +3 more
doaj +1 more source
Dimensional operators for mathematical morphology on simplicial complexes [PDF]
, 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
core +4 more sources