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.

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;