Flotation froth image segmentation using Mask R-CNN

• Published in: Minerals engineering Vol. 192; p. 107959
• Main Authors: Gharehchobogh, Behzad Karkari, Kuzekanani, Ziaddin Daie, sobhi, Jafar, Khiavi, Abdolhamid Moallemi
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.02.2023
• Subjects: Bubble; Deep learning; Flotation froth; Mask R-CNN; Segmentation; Deep learning; Bubble; Segmentation; Flotation froth; Mask R-CNN

[Display omitted] Automatic control of the flotation circuits needs online information from froth indicators, such as froth texture, motion speed, shape, and number and size distribution of bubbles. In principle, these indicators may be extracted with a machine vision system. This paper presents a r...