Morphological discrimination of granular materials by measurement of pixel intensity distribution (PID)

Artur Wójcik , Piotr Kościelniak , Marcin Mazur , Thomas Mathia

Abstract

The paper provides statistical analysis of the photographs of four various granular materials (peas, pellets, triticale, wood chips). For analysis, the (parametric) ANOVA and the (nonparametric) Kruskal-Wallis tests were applied. Additionally, the (parametric) two-sample t-test and (non-parametric) Wilcoxon Rank-Sum Test for pairwise comparisons were performed. In each case, the Bonferroni correction was used. The analysis shows a statistical evidence of the presence of differences between the respective average discrete pixel intensity distributions (PID), induced by the histograms in each group of photos, which cannot be explained only by the existing differences among single granules of different materials. The proposed approach may contribute to the development of a fast inspection method for comparison and discrimination of granular materials differing from the reference material, in the production process.
Author Artur Wójcik (FoPaPE / DoMEaA)
Artur Wójcik,,
- Department of Mechanical Engineering and Agrophysics
, Piotr Kościelniak
Piotr Kościelniak,,
-
, Marcin Mazur
Marcin Mazur,,
-
, Thomas Mathia
Thomas Mathia,,
-
Journal seriesMetrology and Measurement Systems, [Metrologia i Systemy Pomiarowe, Metrology and Measuring Systems], ISSN 0860-8229, e-ISSN 2300-1941, (N/A 100 pkt)
Issue year2019
Vol26
No2
Pages297-308
Publication size in sheets0.55
Keywords in Englishgranular material, digital image analysis, pixel intensity distribution, discrimination process control
ASJC Classification2207 Control and Systems Engineering; 3105 Instrumentation
DOIDOI:10.24425/mms.2019.128357
URL http://journals.pan.pl/dlibra/publication/128357/edition/111964/content
Languageen angielski
Score (nominal)100
Score sourcejournalList
Publication indicators WoS Citations = 0; Scopus SNIP (Source Normalised Impact per Paper): 2016 = 1.228; WoS Impact Factor: 2018 = 1.096 (2) - 2018=1.149 (5)
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