Application of two dimensional wavelet for defect detection in steel process

Author

Sadeghi, Mostafa ; Saraie, Shokoufeh Sadat valadie some ; Mahdeian, Ali

Author_Institution

Dept. of Comput., Islamic Azad Univ., Zavareh, Iran

fYear

2011

fDate

27-29 Dec. 2011

Firstpage

1160

Lastpage

1163

Abstract

In any industry, quality control is an essential and inevitable part of process. Defect detection in steel plates, is one of the most important quality control steps in steel process. Image processing is a dominant technique to recognize defect in steel plates. In this paper a fast and precise solution for detection of this type of defects by using 2D wavelet is introduced. The result show considerable improvement and Precision and speed of this suggested approach is compared to the previous methods.

Keywords

object detection; object recognition; plates (structures); production engineering computing; quality control; steel manufacture; wavelet transforms; 2D wavelet transform; defect detection; defect recognition; image processing; quality control; steel plates; steel process; two dimensional wavelet transform; Feature extraction; Frequency domain analysis; Gabor filters; Quality control; Steel; Surface morphology; Surface texture; Gabor Wavelet; Image Processing; Quality control; steel process;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Instrumentation and Automation (ICCIA), 2011 2nd International Conference on

Conference_Location

Shiraz

Print_ISBN

978-1-4673-1689-7

Type

conf

DOI

10.1109/ICCIAutom.2011.6356825

Filename

6356825