2016
DOI: 10.1017/s1431927616000015
|View full text |Cite
|
Sign up to set email alerts
|

Use of the Distance Transform for Integration of Local Measurements: Principle and Application in Chemical Engineering

Abstract: We propose an original methodology to integrate local measurement for nontrivial object shape. The method employs the distance transform of the object and least-square fitting of numerically computed weighting functions extracted from it. The method is exemplified in the field of chemical engineering by calculating the global metal concentration in catalyst grains from uneven metal distribution profiles. Applying the methodology on synthetic profiles with the help of a very simple deposition model allows us to… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2016
2016
2020
2020

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(2 citation statements)
references
References 14 publications
0
2
0
Order By: Relevance
“…For every profile, 25 points were measured resulting in a constant step of about 56 μm. Local measured concentrations were then processed using the method of the distance transform [33] to obtain the overall concentration of each element in the extrudate.…”
Section: Materials Characterizationmentioning
confidence: 99%
“…For every profile, 25 points were measured resulting in a constant step of about 56 μm. Local measured concentrations were then processed using the method of the distance transform [33] to obtain the overall concentration of each element in the extrudate.…”
Section: Materials Characterizationmentioning
confidence: 99%
“…The metal dispersion was calculated by means of a 0.75 O 2 :Pt stoichiometric coefficient [44,45]. Local measured concentrations were then processed using the method of the distance transform [49] to obtain the overall concentration of each element in the extrudate.…”
Section: Solids Characterizationmentioning
confidence: 99%