Research on image segmentation and extraction algorithm for bicolor water level gauge

Author

Ting Sun ; Changsheng Zhang ; Lun Li ; Haiyong Tian ; Bin Qian ; Jianping Wang

Author_Institution

Fac. of Inf. Eng. & Autom., Kunming Univ. of Sci. & Technol., Kunming, China

fYear

2013

fDate

25-27 May 2013

Firstpage

2779

Lastpage

2783

Abstract

The drum water level of industrial boiler is very critical as one of the monitoring parameters. The intelligence is of great significance for the traditional monitoring system with local bicolor water level gauge and the remote industrial TV. In this article, Wiener filtering algorithm is first used to process the water level image and morphology algorithm is applied to segment and extract the water level information. Then, the image is recognized and the digital value is obtained. Furthermore, a digital video level measurement system is designed based on CCD and DSP.

Keywords

Wiener filters; boilers; charge-coupled devices; computerised monitoring; digital signal processing chips; gauges; image recognition; image retrieval; image segmentation; level measurement; video signal processing; CCD; DSP; Wiener filtering algorithm; digital value; digital video level measurement system; drum water level image processing; image extraction algorithm; image recognition; image segmentation algorithm; industrial boiler; local bicolor water level gauge; monitoring parameters; morphology algorithm; remote industrial TV; water level information extraction; water level information segmentation; Educational institutions; Gray-scale; Image edge detection; Image segmentation; Liquids; Wiener filters; Digital Video Level Gauge for Water; Morphology Algorithm; Segmentation and Extraction; Wiener Filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (CCDC), 2013 25th Chinese

Conference_Location

Guiyang

Print_ISBN

978-1-4673-5533-9

Type

conf

DOI

10.1109/CCDC.2013.6561416

Filename

6561416