Presently, product inspection based on vision systems is an important part of the steel-manufacturing industry. In this work, we focus on the detection of seam cracks in the edge region of steel plates. Seam cracks are generated in the vertical direction, and their width range is 0.2–0.6 mm. Moreover, the gray values of seam cracks are only 20–30 gray levels lower than those of the neighboring surface. Owing to these characteristics, we propose a new algorithm for detecting seam cracks using a Gabor filter combination method. To enhance the performance, we extracted features of seam cracks and employed a support vector machine classifier. The experimental results show that the proposed algorithm is suitable for detecting seam cracks.
© 2014 Optical Society of America
Original Manuscript: August 7, 2013
Revised Manuscript: June 13, 2014
Manuscript Accepted: June 14, 2014
Published: July 22, 2014
Doo-Chul Choi, Yong-Ju Jeon, Sang Jun Lee, Jong Pil Yun, and Sang Woo Kim, "Algorithm for detecting seam cracks in steel plates using a Gabor filter combination method," Appl. Opt. 53, 4865-4872 (2014)