Title :
Application of image recognition system in flotation process
Author :
Zhu, Jing ; Yu Kun Wang
Author_Institution :
Dept. of Math., An Shan Normal Univ., Anshan
Abstract :
Based on researching into control technique of hematite flotation process, the mathematic model of control of flotation reagent quantum is introduced. This model uses image processing technique to extract texture characteristics of froth image before using the rough set and LVQ neural net technique to estimate the status of produce and adjust reagent quantum. Application of plant and emulate contrast shows the mathematical model can suffice for the requirement of flotation process control. The model establishes foundation of the realization of flotation automation.
Keywords :
image recognition; image texture; neural nets; rough set theory; LVQ neural net; flotation automation; flotation process control; flotation reagent quantum; froth image; hematite flotation process; image processing; image recognition system; mathematic model; mathematical model; rough set; texture characteristics; Automation; Data mining; Electronic mail; Image processing; Image recognition; Intelligent control; Mathematical model; Mathematics; Neural networks; Process control; Floatation froth image; LVQ neural net; Rough set; Texture characteristic;
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
DOI :
10.1109/WCICA.2008.4593000
