钢带表面定向织构缺陷的检测方法

J. Cong, Y. Yan
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引用次数: 1

摘要

钢带表面存在多种缺陷类型,其中大部分缺陷类型在摄像机与照度布置在一个平面内,正交两侧角度相同的情况下表现得最为明显。但对于表面定向纹理缺陷,如划痕,由于“转身”的影响,一些光线满足违反。这样摄像机就看不到正交方向的光照了。本文提出了一种多传感器和图像融合的方法,通过合理安排不同角度、不同位置的摄像机和照度,全面地获取表面缺陷信息。这种方法将很可能避免在同一条带材中出现两种类型的缺陷,只有一种缺陷是可见的。在像素级,提出了基于空间域和小波分解的图像融合方法。对不同角度采集的夹杂和划痕缺陷图像、漫射光和定向光分别采集的裂纹和划痕缺陷图像进行测试。实验结果表明,采用多传感器和图像融合的方法可以充分检测出方向性纹理缺陷。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Inspection method for directional texture defects on steel strip surface
A variety of defect types exist on steel strip surface, most of which will be seen best in the arrangement that camera and illumination are arranged in one plane and with the same angle on both sides of the orthogonal. But for surface directional texture defects like scratches due to the "turn around" effect for some rays of light meeting the violations. So the camera would not see the illumination in orthogonal direction. This paper presents the multi-sensor and image fusion method in the reasonable arrangement of camera and illumination which are in different angles and at different positions against the strip to obtain the surface defects information exhaustively. The approach will most probably avoid the situation of two types of defects in the same strip only one will become visible. On pixel level, image fusion based on spatial domain and wavelet decomposition is proposed. Test on defect images of inclusion and scratch collected at a different angle, crack and scratch collected in diffuse and directed light respectively. The experiment results show that directional texture defects can be sufficient inspected by the multi-sensor and image fusion method.
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