关键词: 漏磁图像, Laplacian, 数学形态学, 边缘颜色约束对, 边缘增强

Abstract: In order to enhance the edge features of pipeline weld magnetic flux leakage image, an edge enhancement method based on Laplace and multi⁃scale mathematical morphology was proposed. Firstly, magnetic flux leakage data of pipeline magnetic flux leakage internal detector are collected for imaging, Then, using mathematical morphology algorithm, we construct multi⁃scale structural elements to detect the edge of the image, and use edge color constraints to delete non⁃edge points. Finally, edge is enhanced by Laplace operator. The results show that the method can accurately extract the weld and defect boundaries of the magnetic flux leakage signal image, and effectively separate the weld and defect. It has certain feasibility and practicability.

Key words: Magnetic flux leakage image, Laplacian, Mathematical morphology, Edge color constraint pairs, Edge enhancement