民机襟翼用滑轨材料磨损表面图像分析

Wear Surface Image Analysis of Flap Slide Rail Material

摘要:

利用MZ-4018滚动轴承滑轨摩擦磨损试验机进行磨损试验,通过体视显微镜和工业相机对襟翼滑轨材料试验件磨损表面进行图像采集;采用wiener 滤波和Laplace 算子进行预处理,以实现图像平滑,增强图像的边缘和细节信息;迭代法和最大间类方差法确定两阈值,以此作为选取种子点的标准,确定生长准则后进行图像分割;最后利用形态学方法进行磨损边界提取并对磨损面积进行测算;实现了对襟翼滑轨材料磨损特征的定量分析。

Abstract:

Use the MZ-4018 wheel-rail friction and wear tester carried on wear test, obtain flap slide rail material wear surface image by microscope and industrial cameras; By the Wiener filter and the Laplace operator method pretreatment method to smooth image and enhance edge and detail information; The iterative method and the maximum between class variance method to determine two threshold, as the standard selection of seeds. Determine growth standards for image segmentation; Finally use morphological methods to extract wear boundary and calculate wear area; Realize the flaps and slats slide rail material wear characteristics of the quantitative analysis.