DocumentCode :
304734
Title :
Multiscalar rock recognition using active vision
Author :
Crida, Robert C. ; De Jager, Gerhard
Author_Institution :
Dept. of Electr. Eng., Cape Town Univ., Rondebosch, South Africa
Volume :
1
fYear :
1996
fDate :
16-19 Sep 1996
Firstpage :
345
Abstract :
This paper describes an active vision approach to rock recognition for the purpose of measuring rock size distributions or fragmentation. Such a measure is useful in the mining industry to facilitate the control and monitoring of autogenous mills. A new approach for recognising and segmenting rock images is described. It is based on rapid identification of targets at which attention is focused for analysis. In addition, a multiscalar image pyramid is used in a novel way to allow target detection and analysis to be optimised for a particular size, thereby improving their performances. The results that have been obtained with this approach are both robust and accurate
Keywords :
active vision; geology; geophysical signal processing; image recognition; image segmentation; mineral processing industry; mining; rocks; active vision; autogenous mill control; autogenous mill monitoring; mining industry; multiscalar image pyramid; multiscalar rock recognition; performance; rock fragmentation; rock image recognition; rock image segmentation; rock size distribution measurement; target analysis; target detection; target identification; Focusing; Image analysis; Image recognition; Image segmentation; Milling machines; Mining industry; Monitoring; Object detection; Performance analysis; Size measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
Type :
conf
DOI :
10.1109/ICIP.1996.560827
Filename :
560827
Link To Document :
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