基于Canny算法的列车轴承表面缺陷边缘检测

为了对列车轴承表面缺陷进行准确的边缘检测，提出了一种数学形态学和Canny算法相结合的边缘检测算法。通过对形态学结构元素及基本运算的选取，确定了形态学3菱形闭运算作为前处理，结合Canny算法对列车轴承表面缺陷进行边缘检测。同传统的边缘检测算法及形态学边缘检测算法进行比较，实验结果表明，所提算法不仅加强了抑制噪声的能力，还准确地保留了图像的边缘特征。

Edge Detection of Train Bearing Surface Defects Based on Canny Algorithm

In order to accurately detect the surface defects of train bearings,an edge detection algorithm combining mathematical morphology and Canny algorithm is proposed.Through the selection of morphological structural elements and basic operations,the morphological three diamond closed operation is determined as pre-processing,and the Canny algorithm is used to detect the edge defects of train bearings.Compared with the traditional edge detection algorithm and morphological edge detection algorithm,the experimental results show that the proposed algorithm not only enhances the ability of noise suppression,but also accurately preserves the edge features of the image.