DocumentCode :
1732642
Title :
Image processing of steel plates using 2D Wavelet
Author :
Sadeghi, Mostafa ; Zavareh, Faezeh Memarzadeh ; Shafiee, Masoud ; Mahdeian, Ali
Author_Institution :
Dept. of Comput., Islamic Azad Univ., Zavareh, Iran
Volume :
1
fYear :
2011
Firstpage :
606
Lastpage :
609
Abstract :
Quality control is an essential and inevitable part of industrial process. Quality control of steel sheets to optimize product quality and maintaining market competition is very important. Image processing is a dominant technique to recognize defect in steel plates. in this paper a fast and highly accurate approach for detection of this kind of defects is offered by using image processing with the aid of 2D Gabor Wavelet and without any need to normal image or determining the quantity of images which are to be deleted. The accuracy and speed of applied approach has been indicated by offering test samples;.
Keywords :
image processing; optimisation; production engineering computing; quality control; sheet metal processing; wavelet transforms; 2D Gabor wavelet; defect recognition; image processing; industrial process; market competition; product quality optimization; quality control; steel plates; steel sheets; Image segmentation; Reactive power; Steel; 2D Wavelet; Image Processing; Quality Control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2011 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4577-1586-0
Type :
conf
DOI :
10.1109/ICCSNT.2011.6182031
Filename :
6182031
Link To Document :
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