Results 41 to 50 of about 16,841 (195)

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, Felix Latourte, Dominique Jeulin, Matthieu Faessel, Lucie Saintoyant   +4 more
doaj   +1 more source

An incomplete Voronoi tessellation [PDF]

Applicationes Mathematicae, 1993
Summary: This paper presents distributional properties of a random cell structure which results from a growth process. It starts at the points of a Poisson point process. The growth is spherical with identical speed for all points; it stops whenever the boundaries to different cells have contact. The whole process finally stops after time \(t\). So the
openaire   +1 more source

Cell shape analysis of random tessellations based on Minkowski tensors

, 2016
To which degree are shape indices of individual cells of a tessellation characteristic for the stochastic process that generates them? Within the context of stochastic geometry and the physics of disordered materials, this corresponds to the question of ...
A.M. Kraynik, A.M. Kraynik, A.M. Kraynik, B. Schuetrumpf, B. Schuetrumpf, B.J. Alder, C. Gay, C. Redenbach, C. Scholz, C. Scholz, C. Zong, D. Göring, D. Hug, D. Hug, D. Ruelle, D. Stoyan, D.J. Daley, E. Pineda, E.A. Lazar, F. Baccelli, F. Baccelli, F. Lavancier, F.M. Schaller, F.M. Schaller, F.M. Schaller, F.M. Schaller, F.M. Schaller, G. Last, G. Last, G. Zhang, H. Hansen-Goos, H. Mantz, J. Becker, J. Mecke, J. Møller, J. Møller, J. Møller, J. Talbot, J. Teichmann, J.B. Hough, K. Mecke, M. Kac, M. Kerscher, M.A. Klatt, M.E. Evans, M.L. Huber, O. Macchi, P. McCullagh, P.J. Steinhardt, R. Cowan, R. Miles, R. Schneider, S. Colombi, S. Hilgenfeldt, S. Mase, S. Torquato, S. Torquato, S. Zuyev, S.C. Kapfer, S.N. Chiu, T. Aste, T. Aste, T. Schreiber, T. Schreiber, T.C. Hales, V. Baumstark, V. Baumstark, V. Senthil Kumar, W. Mickel, W. Nagel, W.W. Wood, X.X. Nguyen   +71 more
core   +1 more source

Evaluation of Tree Detection and Segmentation Algorithms in Peat Swamp Forest Based on LiDAR Point Clouds Data

Jurnal Manajemen Hutan Tropika, 2020
Application of LiDAR for tree detection and tree canopy segmentation has been widely used in conifer plantation forest in temperate countries with high accuracy, however its application on tropical natural forest especially peat swamp forest hardly found.
Irlan, Muhammad Buce Saleh, Lilik Budi Prasetyo, Yudi Setiawan   +3 more
doaj   +1 more source

OptiMic: A tool to generate optimized polycrystalline microstructures for materials simulations

SoftwareX, 2021
Polycrystal microstructures, with their distinct physical, chemical, structural and topological entities, play an important role in determining the effective properties of materials.
Prince Henry Serrao, Stefan Sandfeld, Aruna Prakash   +2 more
doaj   +1 more source

Elastic moduli of model random three-dimensional closed-cell cellular solids

, 2000
Most cellular solids are random materials, while practically all theoretical results are for periodic models. To be able to generate theoretical results for random models, the finite element method (FEM) was used to study the elastic properties of solids
A.P. Roberts, Baxter, Berk, Chan, Christensen, Christensen, Cook, E.J. Garboczi, Garboczi, Garboczi, Gibson, Gibson, Green, Grenestedt, Grenestedt, Grenestedt, Hashin, Hashin, Mills, Milton, Morgan, Renz, Roberts, Roberts, Roberts, Roberts, Silva, Silva, Simone, Stoyan, Torquato, Van der Burg, Walsh, Weaire, Zwissler   +34 more
core   +1 more source

AN ADAPTIVE POLYGONAL CENTROIDAL VORONOI TESSELLATION ALGORITHM FOR SEGMENTATION OF NOISY SAR IMAGES [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014
In this research, a fast, adaptive and user friendly segmentation methodology is developed for highly speckled SAR images. The developed region based centroidal Voronoi tessellation (R-BCVT) algorithm is a kind of polygon-based clustering approach in ...
G. Askari, Y. Li, R. MoezziNasab
doaj   +1 more source

Distributed Weighted Coverage for Multi-Robot Systems in Non-Convex Environment

Applied Sciences, 2023
Multi-robot coverage systems are widely used in operations such as environmental monitoring, disaster rescue, and pollution prevention. This study considers inherent positioning errors in positioning systems and ground mobile robots with limited ...
Kai Cao, Yangquan Chen, Song Gao, Haixin Dang, Di An   +4 more
doaj   +1 more source

High-order 3D Voronoi tessellation for identifying Isolated galaxies, Pairs and Triplets

, 2008
Geometric method based on the high-order 3D Voronoi tessellation is proposed for identifying the single galaxies, pairs and triplets. This approach allows to select small galaxy groups and isolated galaxies in different environment and find the isolated ...
A. Elyiv, Alonso, Barrena, Barton, Barton, Benn, Blanton, Ceccarelli, Coles, Cooper, Da Rocha, De Propris, Dressler, Ebeling, Einasto, Geller, Gerke, Girardi, Gomez, Gonzales, I. Vavilova, Icke, Ikeuchi, Jackson, Karachentsev, Karachentsev, Karachentsev, Karachentsev, Karachentsev, Karachentsev, Karachentseva, Karachentseva, Karachentseva, Karachentseva, Kauffmann, Kiang, Kim, Lambas, Lewis, Lopes, Makarov, Marinoni, Martinez, Matsuda, Melnyk, Melnyk, Melnyk, Mulchaey, Nikolic, O. Melnyk, Panko, Park, Park, Patton, Patton, Patton, Prada, Ramella, Reda, Soares, Stocke, SubbaRao, SubbaRao, Tago, Trofimov, van de Weygaert, van de Weygaert, van de Weygaert, Vavilova, Verley, Voronoi, Weinmann, Williams, Woods, Xu, Zaninetti   +75 more
core   +1 more source

Voronoi tesselation v1

, 2022
This protocol describes how to perform Voronoi tesselation analysis of cerebellar images. It can be used for any biological images to study cellular sociology and is based on a model of parametrization and quantitation of cellular population topographies developed by Marcelpoil and Usson (1992).
openaire   +1 more source