基于轮廓修补和图像差分的手机玻璃盖板表面缺陷检测

Surface Defect Detection of Mobile Phone Glass Cover based on Contour Repair and Image Difference

由于手机玻璃盖板每年出货量大,易产生表面缺陷,采用人工检测,效率低,同时传统表面缺陷检测算法精度不高。为此,本文在研究了其他表面缺陷检测领域的图像处理算法后,提出一种基于轮廓修补和图像差分的手机玻璃盖板表面缺陷检测算法,相较于传统的图像差分法,无须做图像配准处理,大大提高了算法的稳定性。在对原图像进行自适应中值滤波和ROI区域提取后,应用本文提出的算法进行检测,结果表明,手机玻璃盖板表面常见的点、线类缺陷都能被快速正确地检出。

Due to the large sales volume of mobile phone glass covers,which are prone to surface defects,the using of low-efficient manual detection leads to the fact that the accuracy of traditional visual surface defect detection algorithm is not high.To solve the problem,this paper proposes a surface defect detection algorithm for mobile phone glass covers based on contour repair and image difference after studying image processing algorithms in other areas of surface defect detection.Compared with the traditional image difference method,no image matching Quasi-processing greatly improves the stability of the algorithm.After adaptive median filtering and ROI region extraction of the original image,the algorithm proposed in this paper is used for detection.The results show that the common points and line defects on the surface of the mobile phone glass cover can be quickly and correctly detected.