Nonwovens Uniformity Spatial Characterization
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@Article{JICS-2-85,
author = {},
title = {Nonwovens Uniformity Spatial Characterization},
journal = {Journal of Information and Computing Science},
year = {2024},
volume = {2},
number = {2},
pages = {85--92},
abstract = { The main aim of this contribution is comparison of method for evaluation of nonwovens surface
uniformity based on the data in the form of rectangular arrays (quadrat method). These data can be obtained
from digital images where the variation of mass is characterizes by the variation of grey level image. The
evaluation of uniformity is based on the variation coefficient model, ANOVA model and spatial descriptors
of irregularity
},
issn = {1746-7659},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22805.html}
}
TY - JOUR
T1 - Nonwovens Uniformity Spatial Characterization
AU -
JO - Journal of Information and Computing Science
VL - 2
SP - 85
EP - 92
PY - 2024
DA - 2024/01
SN - 2
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/jics/22805.html
KW - spatial heterogeneity, quadrat method, surface uniformity, ANOVA, spatial descriptors
AB - The main aim of this contribution is comparison of method for evaluation of nonwovens surface
uniformity based on the data in the form of rectangular arrays (quadrat method). These data can be obtained
from digital images where the variation of mass is characterizes by the variation of grey level image. The
evaluation of uniformity is based on the variation coefficient model, ANOVA model and spatial descriptors
of irregularity
. (2024). Nonwovens Uniformity Spatial Characterization.
Journal of Information and Computing Science. 2 (2).
85-92.
doi:
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