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Pinhole detection in steel slab images using Gabor filter and morphological features |
Applied Optics, Vol. 50, Issue 26, pp. 5122-5129 (2011)
http://dx.doi.org/10.1364/AO.50.005122
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Abstract
Presently, product inspection for quality control is becoming an important part in the steel manufacturing industry. In this paper, we propose a vision-based method for detection of pinholes in the surface of scarfed slabs. The pinhole is a very tiny defect that is 1–
© 2011 Optical Society of America
OCIS Codes
(150.0150) Machine vision : Machine vision
(150.1135) Machine vision : Algorithms
ToC Category:
Machine Vision
History
Original Manuscript: February 17, 2011
Revised Manuscript: July 24, 2011
Manuscript Accepted: August 2, 2011
Published: September 8, 2011
Citation
Doo-chul Choi, Yong-ju Jeon, Jong Pil Yun, and Sang Woo Kim, "Pinhole detection in steel slab images using Gabor filter and morphological features," Appl. Opt. 50, 5122-5129 (2011)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-50-26-5122
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