پردازش تصاویر ورق های فولادی به منظور آشکارسازی عیوب به کمک موجک گابور
Subject Areas : General
Mostafa Sadeghie
1
*
,
masoud shafiee
2
1 -
2 -
Keywords:
Abstract :
In different stages of steel production, many defects appear on the surface of the sheet. Regardless of the causes of failures, accurate detection of their types helps to correctly classify the steel sheet and thus occupies a high percentage of the quality control process. Quality control of steel sheets is of great importance in order to improve product quality and maintain a competitive market. In this article, while reviewing the used image processing techniques, by using image processing with the help of two-dimensional Gabor wavelet, a fast and high-accuracy solution is presented for revealing textural defects of steel sheets. At first, using Gabor wavelet, it extracts significant textural features from the images, which includes both different directions and different frequencies. Then, using the statistical method, the images that contain the defects are selected more clearly and the location of the defect is determined. By presenting test samples, the accuracy and speed of the method used have been shown.
[1]. Yazdchi, M., Yazdi, M., Golibagh , A., “Steel Surface Defect Detection Using Texture Segmentation Based on Multifractal Dimension”, The 1nd International Conference on Digital Image Processing (ICDIP 2009), pp. 346-350, 2009, IEEE.
[2]. Li. Jingting, Ying Wang, Oiang Zhang, Wei Chen, "Method of counting thin steel plates based on digital image processing", Image Analysis and Signal Processing (IASP), 2011, IEEE .
[3]. M. Sharifzadeh, S. Alirezaee, R. Amirfattahi, S. Sadri. , "Detection of Steel Defect Using the Image Processing Algorithms", Multitopic Conference, INMIC 2008. , Karachi, Pakistan, Dec. 23-24, 2008, IEEE.
[4]. C.G,Spinola, J.Canero, G. Moreno-Aranda, J.M,Bonelo, M.Martin-Vazquez," Real-time image processing for edge inspection and defect detection in stainless steel production lines ", Imaging Systems and Techniques (IST), 2011, IEEE.
[5]. M. Sadeghi, M. Shafiee and H. R. Hosseini, “Image processing of steel surfaces For detection of observable defects”, 2nd electrical engineering conference, Azad university, Najafabad, 2009.
[6]. M. Sadeghi, M. Shafiee, F. Memarzadeh Zavareh, A. Mahdeian. "Image Processing of Steel Plates Using 2D Wavelet", International Conference on Computer Science and Network Technology, Harbin, china, Dec. 24-26, 2011, IEEE.
[7]. M. Sadeghi, M. Shafiee , M. Shafieirad. "A New Approach to Improve Defect Detection of Steel Sheets Using Gabor Wavelet". 3rd International Conference on Signal Processing Systems, Yantai, China. Aug. 27-28, 2010, IEEE.
[8]. M. Sadeghi, Sh.Valadiesomesaraiet, A. Mahdeiani. " Application of Two Dimensional Wavelet for Defect Detection in Steel Process". 2nd International Conference on Control, Instrumentation, and Automation (ICCIA), Shiraz, I. R. Iran. 2011, IEEE.
[9]. C.Spinola,. M.J.Cañero-Nieto, J.M.Martin-Vazquez.M.J. Bonelo. " Image processing for surface quality control in stainless steel production lines". Imaging Systems and Techniques (IST), Thessaloniki, 1-2 July ,2010, IEEE.
[10]. M. Sadeghi, M. Shafiee, F. Memarzadeh Zavareh, M. Memarzadeh Zavareh. " Using image processing in grading tile with Gabor wavelet, International Conference on Computer Science and Network Technology, Changchun, china, Dec. 29-31, 2012, IEEE.