Image Processing Algorithm for the Assessment of the Ore Fragmentation Size Distribution

The article presents the description of an image processing algorithm that attempts to estimate the fragmentation size distribution of ore. An introduction to the subject is followed by a step-by-step description of the algorithm. The result of the algorithm is in a form of a histogram containing in...

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Bibliographic Details
Published inProceedings (IEEE International Conference on Emerging Technologies and Factory Automation) pp. 505 - 512
Main Authors Firla, Marcin, Lipnicki, Piotr, Lewandowski, Daniel
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2019
Subjects
Belts
Cameras
CLAHE
fragmentation size distribution
Histograms
image processing
Image reconstruction
line-scan camera
mining
Ores
Rocks
Online AccessGet full text
ISSN1946-0759
DOI10.1109/ETFA.2019.8869462

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Summary:The article presents the description of an image processing algorithm that attempts to estimate the fragmentation size distribution of ore. An introduction to the subject is followed by a step-by-step description of the algorithm. The result of the algorithm is in a form of a histogram containing information on the size of the objects detected with the use of the routine. Even though the algorithm has shown to provide promising results, some important observations have been made which point towards areas where the algorithm could be improved. The designed solution was evaluated by means of experiments conducted in two different test stands - rotary table conveyor belt and standard conveyor belt. The samples for fragmentation size distribution has been prepared beforehand according to appropriate guidelines.
ISSN:1946-0759
DOI:10.1109/ETFA.2019.8869462