Computing Particle Size Distribution of Mineral Rocks using Deep Learning-based Instance Segmentation

Andrei Baraian (Corresponding author), Vili Kellokumpu, Janne Paaso, Lauri Koresaar, Jani Kaartinen (Corresponding author)

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

This work presents a deep learning based system for estimating the particle size distribution of two types of rocks in a flow-through environment in mineral processing. Deep Learning has become one of the most important topics in Computer Vision, however, less is known about applying deep neural networks in industrial use cases, where data availability is very limited. Due to this limitation, previous works have focused the efforts on generating synthetic images and benchmark against them or against similar datasets. Because slurry environments exhibit a high level of complexity and image noises, it is almost impossible to transfer knowledge from synthetic data, hence our efforts are aimed towards working only with real data. Target images contain apatite and phlogopite particles in slurry, presenting complex scenarios like overlapping particles, blurry or mixed particles. The proposed system segments all instances of particles, then computes a size distribution based on the predicted masks and the magnification of the imaging device. Finally, the result is benchmarked against a reference method, that uses laser diffraction. Two state-of-the-art neural networks are compared, highlighting tradeoffs that need to be considered for a practical implementation of the system.
Original languageEnglish
Title of host publication2022 10th European Workshop on Visual Information Processing, EUVIP 2022
Subtitle of host publicationProceedings
PublisherIEEE Institute of Electrical and Electronic Engineers
Number of pages6
ISBN (Electronic)978-1-6654-6623-3
ISBN (Print)978-1-6654-6624-0
DOIs
Publication statusPublished - 20 Oct 2022
MoE publication typeA4 Article in a conference publication
Event10th European Workshop on Visual Information Processing, EUVIP 2022 - Lisbon, Portugal
Duration: 11 Sep 202214 Sep 2022

Publication series

SeriesEuropean Workshop on Visual Information Processing
Volume2022-September
ISSN2471-8963

Conference

Conference10th European Workshop on Visual Information Processing, EUVIP 2022
Country/TerritoryPortugal
CityLisbon
Period11/09/2214/09/22

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