An Algorithm for Detecting Seam Cracks in Steel Plates
In this study, we developed an algorithm for detecting
seam cracks in a steel plate. Seam cracks are generated in the edge
region of a steel plate. We used the Gabor filter and an adaptive double
threshold method to detect them. To reduce the number of pseudo
defects, features based on the shape of seam cracks were used. To
evaluate the performance of the proposed algorithm, we tested 989
images with seam cracks and 9470 defect-free images. Experimental
results show that the proposed algorithm is suitable for detecting seam
cracks. However, it should be improved to increase the true positive
rate.
[1] J. P. Yun, S. H. Choi, B. Seo, and S. W. Kim, "Real-time vision-based
defect inspection for high-speed steel products," Opt. Eng., 47(5), 2008,
077204, pp. 1-8.
[2] J. P. Yun, S. H. Choi, J. -W. Kim, and S. W. Kim, "Automatic detection of
cracks in raw steel block using Gabor filter by univariate Dynamic
Encoding Algorithm for Searches (uDEAS)," NDT&E International,
42, 2009, pp. 389-397.
[3] C. H. Park, S. H. Choi, and S. W. Won, "Vision-based inspection for
periodic defects in steel wire rod production," Opt. Eng., 49(1), 2010,
017202, pp. 1-10.
[4] D. -c. Choi, Y. -J, Jeon, J. P. Yun, and S. W. Kim, "Pinhole detection in
steel slab images using Gabor filter and morphological features," Applied
Optics, 50 (26), 2011, pp. 5122-5129.
[5] A. Kumar, and G. K. H. Pang, "Defect detection in textured materials
using Gabor filters," IEEE Trans. on Industry Applications, 38(2), 2002,
pp. 425-440.
[6] D. Casasent, and J. S. Smokelin, "Real, imaginary, and clutter Gabor filter
fusion for detection with reduced false alarms," Opt. Eng., 33(7), 1994, pp.
2255-2263.
[7] Q. Li, J. You, L. Zhang, and P. Bhattacharya, "Automated retinal vessel
segmentation using Gabor filters and scale multiplication," Proc.
International Conference on Image Processing, Computer Vision, and
Pattern Recognition, USA, 22-28.
[1] J. P. Yun, S. H. Choi, B. Seo, and S. W. Kim, "Real-time vision-based
defect inspection for high-speed steel products," Opt. Eng., 47(5), 2008,
077204, pp. 1-8.
[2] J. P. Yun, S. H. Choi, J. -W. Kim, and S. W. Kim, "Automatic detection of
cracks in raw steel block using Gabor filter by univariate Dynamic
Encoding Algorithm for Searches (uDEAS)," NDT&E International,
42, 2009, pp. 389-397.
[3] C. H. Park, S. H. Choi, and S. W. Won, "Vision-based inspection for
periodic defects in steel wire rod production," Opt. Eng., 49(1), 2010,
017202, pp. 1-10.
[4] D. -c. Choi, Y. -J, Jeon, J. P. Yun, and S. W. Kim, "Pinhole detection in
steel slab images using Gabor filter and morphological features," Applied
Optics, 50 (26), 2011, pp. 5122-5129.
[5] A. Kumar, and G. K. H. Pang, "Defect detection in textured materials
using Gabor filters," IEEE Trans. on Industry Applications, 38(2), 2002,
pp. 425-440.
[6] D. Casasent, and J. S. Smokelin, "Real, imaginary, and clutter Gabor filter
fusion for detection with reduced false alarms," Opt. Eng., 33(7), 1994, pp.
2255-2263.
[7] Q. Li, J. You, L. Zhang, and P. Bhattacharya, "Automated retinal vessel
segmentation using Gabor filters and scale multiplication," Proc.
International Conference on Image Processing, Computer Vision, and
Pattern Recognition, USA, 22-28.
@article{"International Journal of Mechanical, Industrial and Aerospace Sciences:64350", author = "Doo-chul Choi and Yong-Ju Jeon and Jong Pil Yun and Sung Wook Yun and Sang Woo Kim", title = "An Algorithm for Detecting Seam Cracks in Steel Plates", abstract = "In this study, we developed an algorithm for detecting
seam cracks in a steel plate. Seam cracks are generated in the edge
region of a steel plate. We used the Gabor filter and an adaptive double
threshold method to detect them. To reduce the number of pseudo
defects, features based on the shape of seam cracks were used. To
evaluate the performance of the proposed algorithm, we tested 989
images with seam cracks and 9470 defect-free images. Experimental
results show that the proposed algorithm is suitable for detecting seam
cracks. However, it should be improved to increase the true positive
rate.", keywords = "Defect detection, Gabor filter, machine vision,surface inspection.", volume = "6", number = "12", pages = "2860-4", }