Results 21 to 30 of about 55,479 (303)

ESTIMATION OF TORTUOSITY AND RECONSTRUCTION OF GEODESIC PATHS IN 3D

open access: yesImage Analysis and Stereology, 2013
The morphological tortuosity of a geodesic path in a medium can be defined as the ratio between its geodesic length and the Euclidean distance between its two extremities.
Charles Peyrega, Dominique Jeulin
doaj   +1 more source

3D RECONSTRUCTION OF A MULTISCALE MICROSTRUCTURE BY ANISOTROPIC TESSELLATION MODELS

open access: yesImage 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

open access: yesImage 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

XXVII.—Morphology and Mathematics. [PDF]

open access: yesTransactions of the Royal Society of Edinburgh, 1916
The study of Organic Form, which we call by Goethe's name of Morphology, is but a portion of that wider Science of Form which deals with the forms assumed by matter under all aspects and conditions, and, in a still wider sense, with Forms which are theoretically imaginable.The study of Form may be descriptive merely, or it may become analytical.
openaire   +3 more sources

An Introduction to Deep Morphological Networks

open access: yesIEEE Access, 2021
Over the past decade, Convolutional Networks (ConvNets) have renewed the perspectives of the research and industrial communities. Although this deep learning technique may be composed of multiple layers, its core operation is the convolution, an ...
Keiller Nogueira   +3 more
doaj   +1 more source

On Urban Morphology and Mathematics

open access: yes, 2019
This chapter introduces the isolated and joined meaning of the terms Urban, Morphology and Mathematics. After a brief synthesis of the re-emerging new science of cities and urban morphology, it speculates about cities conceived between hard and soft sciences under the complexity perspective.
Luca D'Acci, Luca D'Acci
openaire   +4 more sources

Morphological estimates of image complexity and information content [PDF]

open access: yesКомпьютерная оптика, 2018
We propose new morphological conditional estimates of image complexity and information content as well as morphological mutual information. These morphological estimates take into account both the number and the shape of image tessellation (mosaic ...
Stanislav Brianskiy, Yuri Vizilter
doaj   +1 more source

MULTISCALE IMAGE ANALYSIS BASED ON ROBUST AND ADAPTIVE MORPHOLOGICAL SCALE-SPACES

open access: yesImage Analysis and Stereology, 2014
Mathematical morphology is a powerful tool for image analysis; however, classical morphological operators suffer from lacks of robustness against noise, and also intrinsic image features are not accounted at all in the process.
El Hadji Samba Diop, Jesus Angulo
doaj   +1 more source

Composite morphological structural element in the edge detecting

open access: yesJournal of Education, Health and Sport, 2017
Rajs Arkadiusz, Aleksiewicz Mariusz, Goździewska-Nowicka Agnieszka, Parczyk Krystyna. Composite morphological structural element in the edge detecting. Journal of Education, Health and Sport. 2016;6(11):299-304. eISSN 2391-8306.
Arkadiusz Rajs   +3 more
doaj   +3 more sources

Introduction to mathematical morphology

open access: yesComputer Vision, Graphics, and Image Processing, 1986
Mathematical morphology is concerned with the description of phenomena which spread in space and which exhibit certain spatial structures. From the mathematical point of view it is the application of lattice theory to spatial structures (as defined by the author).
openaire   +2 more sources

Home - About - Disclaimer - Privacy