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

• Autorzy: Wójcik Artur , Kościelniak Piotr , Mazur Marcin , Mathia Thomas G.

Identyfikatory

DOI

10.24425/mms.2019.128357

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

granular material; digital image analysis; pixel intensity distribution; discrimination process control

• Wydawca: Komitet Metrologii i Aparatury Naukowej PAN
• Czasopismo: Metrology and Measurement Systems
• Rocznik: 2019
• Tom: Vol. 26, nr 2
• Strony: 297--308
• Opis fizyczny: Bibliogr. 29 poz., rys., wykr., wzory

Twórcy

autor

Wójcik Artur

• University of Agriculture in Krakow, Faculty of Production and Power Engineering, Balicka 120, 30-149, Cracow, Poland

autor

Kościelniak Piotr

• Jagiellonian University, Faculty of Mathematics and Computer Science, Łojasiewicza 6, 30-348 Cracow, Poland

autor

Mazur Marcin

• Jagiellonian University, Faculty of Mathematics and Computer Science, Łojasiewicza 6, 30-348 Cracow, Poland

autor

Mathia Thomas G.

• Ecole Centrale de Lyon, Laboratoire de Tribologie et Dynamique des Systèmes LTDS, CNRS, France

Bibliografia

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Uwagi

EN

1. This research was supported by the Ministry of Science and Higher Education of the Republic of Poland.

2. Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).