Mathematical Morphological Filtering Algorithm for Magnetic Flux Leakage Testing of Pipelines

摘要

A simple, efficient morphological filtering algorithm based on mathematical morphology is suggested and discussed in this paper. Series morphological operators that incorporate the shape information of a signal can eliminate impulsive noise and random interference and the defect signals are separated. Experiments show that the algorithm improves the signal-to-noise ratio and testing sensitivity greatly, and meet the requirement of real-time non-destructive testing of pipeline.