基于边缘提取和曲线拟合的轴承内部缺陷激光检测  

Laser detection of internal bearing defects based on edge extraction and curve fitting

作　　者：马梦华 MA Menghua(Zhengzhou Business University,Gongyi Henan 451200,China)

机构地区：[1]郑州商学院,河南巩义451200

出　　处：《激光杂志》2024年第11期187-192,共6页Laser Journal

基　　金：河南省高等学校重点科研项目(No.22B510019)。

摘　　要：目前常规的轴承内部缺陷检测方法主要通过对轴承激光图像进行增强处理,从而放大缺陷的特征,并通过连通域标记等方式实现缺陷检测,由于在对图像进行滤波处理时维度较低,导致检测精度不佳。对此,提出基于边缘提取和曲线拟合的轴承内部缺陷激光检测方法。首先结合滤波需求,对滤波器尺寸进行选取,并根据图像的复杂程度,分别对其进行一维以及二维滤波处理。然后对导数符号二值分布图的中线上的像素点坐标进行提取,从而标记出原始衍射条纹图像的中心线。最后结合Sobel算子,对缺陷边缘线进行提取,并通过计算缺陷边缘的平方和均差,实现边缘线拟合处理,从原始图像中分离出背景图像以及缺陷轮廓图像,实现缺陷检测。在实验中,对提出的方法进行了检测精度的检验。最终的测试结果表明,采用提出的方法对轴承缺陷进行检测时,检测结果的图像峰值信噪比与图像结构相似度均较高,具备较为理想的检测效果。Currently,conventional methods for detecting internal defects in bearings are mainly based on enhancing the laser image of bearings so as to amplify the features of defects and realize defect detection by means of connectivity domain marking,etc.The detection accuracy is poor due to the low dimensionality of the filtering process of the image.In this regard,a laser detection method for internal bearing defects based on edge extraction and curve fitting is proposed.Firstly,the filter size is selected in combination with the filtering requirements,and according to the complexity of the image,one-dimensional as well as two-dimensional filtering is carried out respectively.Then the coordinates of the pixel points on the middle line of the binary distribution map of the derivative sign are extracted to mark the center line of the original diffraction stripe image.Finally,the defect edge line is extracted by combining the Sobel operator,and the edge line fitting process is realized by calculating the square and the mean difference of the defect edge,so that the background image and the defect contour image are separated from the original image to realize the defect detection.In the experiments,the detection accuracy of the proposed method is tested.The final test results show that when the proposed method is used to detect bearing defects,the peak signal-to-noise ratio and image structure similarity of the detected images is high,and the detection effect is more ideal.

关 键 词：边缘提取 图像拟合 缺陷检测 轴承滚子 

分 类 号：TN367[电子电信—物理电子学]