2017
DOI: 10.1051/epjconf/201714005002
|View full text |Cite
|
Sign up to set email alerts
|

Application of spherical harmonics analysis on LBS particles and LBS fragments

Abstract: Abstract. This paper applies surface parameterization and spherical harmonics analysis to the characterization of particle shapes of Leighton Buzzard sand (LBS) particles and LBS fragments obtained from X-ray microtomography (μCT). The rotation, transition and scale independent spherical coefficients were obtained. The relationship between spherical coefficients and shape parameters of form, roundness and compactness was investigated. The coefficients of degree one determine the principal dimensions of an elli… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2020
2020
2022
2022

Publication Types

Select...
2
1

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(3 citation statements)
references
References 10 publications
(10 reference statements)
0
3
0
Order By: Relevance
“…Truncation of the representation at a certain l max therefore leads to a representation of a smoothed version of the original morphology, where higher-frequency features are filtered out (figure 1 d ). Translation invariance is achieved by omitting the l = 0 coefficient, scale invariance is achieved by dividing all coefficients by V −(1/3) where V is the volume [27], and rotational invariance is achieved by transforming to a new representation, { D l } l >0 , withDl=ifalse(x,y,zfalse)m=0lcl,imcl,im,analogous to how rotational invariance can be achieved by extracting the power spectrum from Fourier descriptors of two-dimensional cell shapes [15]. There are two key problems with the descriptor in its current form, and we made two modifications to remedy these.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Truncation of the representation at a certain l max therefore leads to a representation of a smoothed version of the original morphology, where higher-frequency features are filtered out (figure 1 d ). Translation invariance is achieved by omitting the l = 0 coefficient, scale invariance is achieved by dividing all coefficients by V −(1/3) where V is the volume [27], and rotational invariance is achieved by transforming to a new representation, { D l } l >0 , withDl=ifalse(x,y,zfalse)m=0lcl,imcl,im,analogous to how rotational invariance can be achieved by extracting the power spectrum from Fourier descriptors of two-dimensional cell shapes [15]. There are two key problems with the descriptor in its current form, and we made two modifications to remedy these.…”
Section: Resultsmentioning
confidence: 99%
“…Truncation of the representation at a certain l max therefore leads to a representation of a smoothed version of the original morphology, where higher-frequency features are filtered out (figure 1d). Translation invariance is achieved by omitting the l = 0 coefficient, scale invariance is achieved by dividing all coefficients by V −(1/3) where V is the volume [27], and rotational invariance is achieved by transforming to a new representation, {D l } l>0 , with…”
Section: T Cell Shape Is Low-dimensionalmentioning
confidence: 99%
“…1d). Translation invariance is achieved by omitting the l = 0 coefficient, scale invariance is achieved by dividing all coefficients by V − 1 3 where V is the volume [27], and rotational invariance is achieved by transforming to a new representation, {D l } l>0 , with (c) Cartesian coordinates of the cell surface, {x, y, z}, are mapped to the surface of a sphere, as parameterised by polar coordinates {θ, φ}. The three resulting functions {x(θ, φ), y(θ, φ), z(θ, φ)} are decomposed in terms of the spherical harmonic functions and transformed to be translation, scale and rotation invariant.…”
Section: T Cell Shape Is Low-dimensionalmentioning
confidence: 99%