A defect identification method for magneto-optical eddy current imaging detection

Abstract

The invention discloses a defect recognition method for magneto-optic eddy current imaging detection. The method comprises the following steps of S1, initializing a magneto-optic image and parameters;S2, assigning numbers to magneto-optic grayscale image windows after being subjected to graying treatment; S3, performing connectivity statistics treatment; S4, performing segmentation image filtering treatment; S5, outputting a detection result. According to the invention, a connectivity-based defect recognition detection method is provided. By adopting the method, a magnetic field change rule caused by defects is mainly interpreted according to the generation principle of magneto-optic images. Meanwhile, the status of the excitation in the distortion of the magnetic field is elaborated. Onthe basis of analyzing the distortion of the magnetic field, the defect recognition method is designed. According to the method, on the condition that the content of the detected image information isweak and cannot be recognized by naked eyes, defects can be quickly positioned and the shape characteristics of the defects can be described. Through verifying the analysis and the result display of the above method, the defect recognition method provided by the invention has extremely high practicability on magneto-optic images.

Description

technical field [0001] The invention relates to the field of eddy current detection visualization, in particular to a defect identification method for magneto-optical eddy current imaging detection. Background technique [0002] In the development process of eddy current testing, we have been pursuing the visualization of testing, hoping to understand the form of defects more intuitively through the visualization method. In the research of eddy current visualization, there are eddy current array detection methods, pulsed eddy current thermal imaging detection methods and eddy current magneto-optical detection methods. The research on these methods shows that the magneto-optical eddy current imaging detection is the best of the three methods in terms of accuracy and detection speed, and this imaging method is more intuitive, and the data can be obtained without redundant processing. information. Among them, the signal directly detected by magneto-optic is the magnetic field...

AI Technical Summary

Problems solved by technology

These all make it difficult to determine the specific location of the defect for magneto-optical images

Since the defect and interference images are changing without fixed shape and position, it is difficult for existing image segmentation and recognition methods to process magneto-optical images, and the actual effect is not good.

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