Analysis of large particle sizes using a machine vision system

• Autorzy: Zhang Z. , Yang J. , Su X. , Ding L.
• Języki publikacji: EN

Abstrakty

EN

Many methods based on machine vision were used to estimate coarse particles size distribution in recent years, but comparison of accuracy parameters representing particle size has not been carried out and a related representing analysis has not been yet proposed. Nine parameters were investigated. The results indicated the minor axis of equivalent ellipse and breadth of the best-fit rectangle were the most suitable for representing particle size. The former accuracy ratio was 86.43% and the latter accuracy ratio was 85.39%, while the accuracy of other parameters was less than 70%. A related representing analysis was proposed to explain this phenomenon. This research is instructive and meaningful for the size distribution estimation by machine vision.

Słowa kluczowe

EN

machine vision; particle size distribution; equivalent ellipse; best-fit rectangle; representing analysis

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Physicochemical Problems of Mineral Processing
• Rocznik: 2013
• Tom: Vol. 49, iss. 2
• Strony: 397--405
• Opis fizyczny: Bibliogr. 24. poz., rys., wykr.

Twórcy

autor

Zhang Z.

• School of Chemical Engineering and Technology, China University of Mining and Technology, Xuzhou 221116, Jiangsu, China

autor

Yang J.

• School of Chemical Engineering and Technology, China University of Mining and Technology, Xuzhou 221116, Jiangsu, China

autor

Su X.

• School of Chemical Engineering and Technology, China University of Mining and Technology, Xuzhou 221116, Jiangsu, China

autor

Ding L.

• School of Chemical Engineering and Technology, China University of Mining and Technology, Xuzhou 221116, Jiangsu, China

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