The application of image analysis techniques to mineral processing

被引：5
|
作者：
Pong, Ting-Chuen [1 ]
Haralick, Robert M. [1 ]
Craig, James R. [2 ]
Yoon, Roe-Hoan [3 ]
Choi, Woo-Zin [3 ]
机构：
[1] Virginia Polytech Inst & State Univ, Dept Comp Sci, Spatial Data Anal Lab, Blacksburg, VA 24061 USA
[2] Virginia Polytech Inst & State Univ, Dept Geol Sci, Blacksburg, VA 24061 USA
[3] Virginia Polytech Inst & State Univ, Dept Min & Minerals Engn, Blacksburg, VA 24061 USA
来源：
PATTERN RECOGNITION LETTERS | 1983年 / 2卷 / 02期
关键词：
Image analysis; mineral benefication;
D O I：
10.1016/0167-8655(83)90047-8
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
With the increasing demand for minerals, the development of efficient techniques for mineral recovery is important. The application of image analysis techniques to mineral beneficiation studies is described in this paper. We carry out ore identification not pixel-by-pixel but rather by considering the average reflectance of grains. This is accomplished by first carrying out segmentation, a process in which a facet model based edge operator is used to delineate the boundaries of grains.
引用
收藏
页码：117 / 123
页数：7
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