Application of image recognition system in flotation process

Author

Zhu, Jing ; Yu Kun Wang

Author_Institution

Dept. of Math., An Shan Normal Univ., Anshan

fYear

2008

fDate

25-27 June 2008

Firstpage

655

Lastpage

659

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/WCICA.2008.4593000

Filename

4593000