ISIJ International
Online ISSN : 1347-5460
Print ISSN : 0915-1559
ISSN-L : 0915-1559
Regular Article
Surface Defect Detection Method Using Saliency Linear Scanning Morphology for Silicon Steel Strip under Oil Pollution Interference
Ke-Chen SongShao-Peng HuYun-Hui YanJun Li
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2014 Volume 54 Issue 11 Pages 2598-2607


Surface defect detection of silicon steel strip is an important section for non-destructive testing system in iron and steel industry. To detect the interesting defect objects for silicon steel strip under oil pollution interference, a new detection method based on saliency linear scanning morphology is proposed. In the proposed method, visual saliency extraction is employed to suppress the clutter background. Meanwhile, a saliency map is obtained for the purpose of highlighting the potential objects. Then, the linear scanning operation is proposed to obtain the region of oil pollution. Finally, the morphology edge processing is proposed to remove the edge of oil pollution interference and the edge of reflective pseudo-defect. Experimental results demonstrate that the proposed method presents the good performance for detecting surface defects including wipe-crack-defect, scratch-defect and small-defect.

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© 2014 by The Iron and Steel Institute of Japan
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