E3S Web Conf.
Volume 192, 2020VIII International Scientific Conference “Problems of Complex Development of Georesources” (PCDG 2020)
|Number of page(s)||7|
|Section||Problems of Complex Processing of Mineral Raw Materials and New Technologies of Mineral Processing|
|Published online||30 September 2020|
Flotation froth feature analysis using computer vision technology
Saint-Petersburg Mining University, Mineral Processing Department, 199106 Saint-Petersburg, Russian Federation
2 TU Bergakademie Freiberg, Institute for Mine Surveying and Geodesy, 09599 Freiberg, Germany
* Corresponding author: email@example.com
The possibility of machine vision application in the field of flotation efficiency evaluation was studied. Algorithm for froth image analysis was developed with aim of obtaining bubble’s size distribution. Algorithm consists of two parts: image processing and object detection. Algorithm’s work was verified on the sulfide flotation froth. As result, mathematical correlations for air flow rate, mean bubble diameter and surface area bubble flux were established.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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