Abstract— Quality control of steel sheet for the purpose of improvement in product quality and maintaining competitive market is a matter of high importance. Surface defect detection devotes a high percentage of quality control to itself. In this paper a fast and precise solution using two-dimensional wavelet for detection of this type of defects is introduced. Precision and speed of this suggested approach was compared to the previous methods. The result show considerable improvement.
Index Terms— Image processing, gabor wavelet, quality control, steel process.
Mostafa Sadeghi is with the Computer Department, Islamic Azad University of Zavareh, Isfahan, Iran (e-mail: mostafa13h@yahoo.com).
Masoud Shafiee and Mohsen Shafieirad are with the Electrical Engineering Department, Amirkabir University of Technology, Tehran, Iran (e-mail: mshafiee@aut.ac.ir, m.shafieirad@aut.ac.ir).
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Cite: Mostafa Sadeghi, Masoud Shafiee, and Mohsen Shafieirad, " A New Approach to Improve Defect Detection of Steel Sheets Using Gabor Wavelet," International Journal of Information and Electronics Engineering vol. 3, no. 5, pp. 541-543, 2013.
