Image analysis and vision systems for processing plants

Author

Niemi, Antti J. ; Hyötyniemi, Heikki ; Ylinen, Raimo

Author_Institution

Control Eng. Lab., Helsinki Univ. of Technol., Espoo, Finland

Volume

1

fYear

1999

fDate

36342

Firstpage

11

Abstract

Material flowing in a processing plant may be visually observable, but its characterization by physical and computational means of analysis can prove difficult. Problems are encountered in practice both at optical imaging and at extraction of features that characterize the material or its stage of processing, and at related control of the process. Intelligent analysis of the vast amount of data provided by process vision systems is discussed in the paper, in the light of two continuous flow processes, i.e. the froth flotation of minerals and the wet end control of a paper machine

Keywords

computer vision; feature extraction; learning (artificial intelligence); process control; process monitoring; self-organising feature maps; continuous flow processes; froth flotation; image analysis; intelligent analysis; minerals; paper machine; processing plants; vision systems; wet end control; Computational intelligence; Data mining; Feature extraction; Image analysis; Machine vision; Optical control; Optical imaging; Optical materials; Physics computing; Process control;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Processing and Manufacturing of Materials, 1999. IPMM '99. Proceedings of the Second International Conference on

Conference_Location

Honolulu, HI

Print_ISBN

0-7803-5489-3

Type

conf

DOI

10.1109/IPMM.1999.792448

Filename

792448