DocumentCode
2432512
Title
A computer vision system for coal preparation
Author
Lu, Runde ; Zhang, Jian ; Nutter, Roy S.
fYear
1991
fDate
10-12 Mar 1991
Firstpage
618
Lastpage
621
Abstract
With a variety of image processing and pattern recognition methods, the image characteristics of both stone and lump coal have been studied. It is found that the texture characteristics are most significant as far as separation is concerned. A separation algorithm based on a Mahalnobis´ distance discrimination function is also developed. The corresponding method has been tested in the lab with large samples of lump coal and stone on a moving belt. The results are guite encouraging
Keywords
coal; computer vision; mineral processing industry; Mahalnobis´ distance discrimination function; coal preparation; computer vision system; image processing; lump coal; pattern recognition; separation algorithm based; stone; texture characteristics; Belts; Cameras; Computer displays; Computer industry; Computer vision; Costs; Image processing; Image sampling; Mining industry; Pattern recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
System Theory, 1991. Proceedings., Twenty-Third Southeastern Symposium on
Conference_Location
Columbia, SC
ISSN
0094-2898
Print_ISBN
0-8186-2190-7
Type
conf
DOI
10.1109/SSST.1991.138642
Filename
138642
Link To Document