Application of wavelet multi-scale edged algorithm on power plant rubber ball edge detection

Author

Qi, Shu-fen ; Lian, Chao

Author_Institution

Dept. of Autom. & Electron. Eng., Qingdao Univ. of Sci. & Technol., Qingdao

fYear

2008

fDate

1-3 Sept. 2008

Firstpage

2337

Lastpage

2341

Abstract

Multi-scale edge detection algorithm, which is based on wavelet transform, is applied to the edge detection of power plant rubber balls. Firstly, the rubber ball image should be decomposed by wavelet transform. Secondly, the useful high-frequency component is detected after the noise has been removed through wavelet transform soft threshold way. Then fast wavelet multi-scale edge algorithm is applied to high-frequency edge information extraction. Finally, according to the edge image, rubber ball characteristics can be obtained. The experimental results show that this method can effectively suppress noise, get edge features of high accuracy, and so on. So it is an effective method for power plants rubber ball edge detection.

Keywords

edge detection; feature extraction; thermal power stations; wavelet transforms; high-frequency edge information extraction; noise suppression; power plant rubber ball edge detection; wavelet multiscale edged algorithm; wavelet transform; Automation; Image edge detection; Inspection; Power engineering and energy; Power generation; Rubber; Signal analysis; Temperature; Testing; Wavelet transforms; information fusion; multi-scale edge; soft threshold; wavelet transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Automation and Logistics, 2008. ICAL 2008. IEEE International Conference on

Conference_Location

Qingdao

Print_ISBN

978-1-4244-2502-0

Electronic_ISBN

978-1-4244-2503-7

Type

conf

DOI

10.1109/ICAL.2008.4636558

Filename

4636558