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The paper describes a feasibility study of on-line inspection of visible defects in the surface of cold rolled steel strip by a experimental inspection system. The system incorporates CCD linear image sensor and illumination placed in specular reflection direction . To cope with the wide variety of different defect mixed with lot of noise and continuous changing of environment, the paper propose a segmentation algorithm using a special two dimensional filter and adaptive threshold varying with environment to get a quite accurate defect binary image. Defect deleanation and classification algorithm analyses defects, removes noise and extracts features of defects, then classify them by statistics decision tree.
Zelin Xu
"Study of automatic surface inspection for cold rolled steel strip", Proc. SPIE 1230, International Conference on Optoelectronic Science and Engineering '90, 12302P (1 July 1990); https://doi.org/10.1117/12.2294734
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Zelin Xu, "Study of automatic surface inspection for cold rolled steel strip," Proc. SPIE 1230, International Conference on Optoelectronic Science and Engineering '90, 12302P (1 July 1990); https://doi.org/10.1117/12.2294734