On-line 3D surface measurement of iron ore green pellets

Author

Thurley, Matthew J.

Author_Institution

Lulea Univ. of Technol., Lulea

fYear

2006

fDate

Nov. 28 2006-Dec. 1 2006

Firstpage

229

Lastpage

229

Abstract

Ongoing research into an industrial prototype 3D imaging and analysis system is presented for non-contact measurement of the size of iron ore green pellets on the conveyor belt. The imaging hardware has been installed at a pellet production plant and captures 3D surface data of pellets on the conveyor belt. Segmentation methods based on mathematical morphology are applied to the 3D surface data to identify individual pellets. Pellet sizing based on the segmented 3D surface data has been performed and demonstrates a correlation with pellet sieve size.

Keywords

image segmentation; iron; metal product industries; minerals; spatial variables measurement; 3D imaging; 3D surface data; analysis system; conveyor belt; image segmentation; iron ore green pellets; mathematical morphology; noncontact measurement; online 3D surface measurement; pellet production plant; pellet sieve size; pellet sizing; Belts; Hardware; Image analysis; Image segmentation; Iron; Metals industry; Production; Prototypes; Size measurement; Surface morphology;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence for Modelling, Control and Automation, 2006 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on

Conference_Location

Sydney, NSW

Print_ISBN

0-7695-2731-0

Type

conf

DOI

10.1109/CIMCA.2006.159

Filename

4052841