- Tytuł:
- Analysis of large particle sizes using a machine vision system
- Autorzy:
-
Zhang, Z.
Yang, J.
Su, X.
Ding, L. - Powiązania:
- https://bibliotekanauki.pl/articles/109404.pdf
- Data publikacji:
- 2013
- Wydawca:
- Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
- Tematy:
-
machine vision
particle size distribution
equivalent ellipse
best-fit rectangle
representing analysis - Opis:
- 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.
- Źródło:
-
Physicochemical Problems of Mineral Processing; 2013, 49, 2; 397-405
1643-1049
2084-4735 - Pojawia się w:
- Physicochemical Problems of Mineral Processing
- Dostawca treści:
- Biblioteka Nauki
Artykuł