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针对目前常用的钢板表面检测系统在检测三维缺陷时存在的局限性,提出了一种基于数字条纹投影的三维缺陷检测方法,并构建了检测系统的数学模型,首先通过面阵CCD相机采集由表面三维缺陷引起的投射条纹形变图像,然后使用旋滤波算法对条纹图像预处理,并通过傅里叶变换轮廓术算法实现对条纹相位的提取,最终利用数学模型推导出条纹相位与缺陷深度的关系,进行钢板表面三维缺陷的在线检测。试验结果表明,该方法在准确检出钢板表面三维缺陷(凹坑或凸包)的同时较好地解决了钢板在传送中的振动及二维缺陷干扰等问题。
Aimed at the limitations of the commonly used steel plate surface inspection system in detecting 3D defects, a 3D defect detection method based on digital fringe projection is proposed and a mathematical model of the inspection system is constructed. Firstly, Then the fringe image is preprocessed by using the spin filter algorithm and the fringe phase is extracted by the Fourier transform profilometry algorithm. Finally, the relationship between the fringe phase and the defect depth is deduced by the mathematical model. Perform on-line inspection of three-dimensional defects on the steel surface. The experimental results show that the proposed method can detect the three-dimensional defects (dimples or convex hull) on the surface of steel plate and solve the vibration and the interference of two-dimensional defects in the steel plate.