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;
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