TUTCRIS - Tampereen teknillinen yliopisto

TUTCRIS

Image-based characterization of the pulp flows

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
Sivut630-637
Sivumäärä8
JulkaisuPattern Recognition and Image Analysis
Vuosikerta26
Numero3
DOI - pysyväislinkit
TilaJulkaistu - 1 heinäkuuta 2016
OKM-julkaisutyyppiA1 Alkuperäisartikkeli

Tiivistelmä

Material flow characterization is important in the process industries and its further automation. In this study, close-to-laminar pulp suspension flows are analyzed based on double-exposure images captured in laboratory conditions. The correlation-based methods including autocorrelation and the particle image pattern technique were studied. During the experiments, synthetic and real test data with manual ground truth were used. The particle image pattern matching method showed better performance achieving the accuracy of 90.0% for the real data set with linear motion of the suspension and 79.2% for the data set with flow distortions.