Adaptive pseudo-colorization method for magnetic flux leakage data

Abstract

The invention discloses an adaptive pseudo-colorization method for magnetic flux leakage data. The method comprises the following steps: carrying out base value correction and denoising preprocessingon the magnetic flux leakage data; carrying out classification and graying processing on the preprocessed magnetic flux leakage data to generate a grayscale image; segmenting the generated grayscale image by adopting two methods, segmenting the generated grayscale image into two parts according to a grayscale threshold, and performing binarization segmentation on the two parts of images by adopting an Otsu algorithm to obtain background region grayscale interval endpoint values; segmenting the grayscale image according to the category label, and taking a grayscale maximum value corresponding to the C2 to Ck categories as a grayscale interval boundary value; combining the background region gray interval endpoint value, the gray interval boundary value and the pixel point gray value extremevalue corresponding to the C1 category to obtain each endpoint value of the gray interval; adjusting pseudo-color codes according to the end point values of the gray interval, and carrying out pseudo-colorization processing on the gray image. The method is clear in pseudo-color image defect features, clear in boundary and high in boundary identification degree.

Description

technical field [0001] The invention relates to the fields of pipeline non-destructive testing and data visualization, in particular to an adaptive pseudo-colorization method for magnetic flux leakage data. Background technique [0002] At present, deep-sea oil and gas pipelines work in the harsh seabed environment all year round, and are easily affected by complex environments such as high pressure and high corrosion on the seabed. Once leakage occurs, it will cause great ecological pollution and energy waste. Therefore, non-destructive testing of pipelines is particularly necessary. [0003] Magnetic flux leakage detection technology is one of the commonly used technologies for defect detection of pipelines. With the improvement of hardware technology and sensor manufacturing process, long-distance pipeline inspection has become a reality, and the number and sensitivity of the sensors arranged have been greatly improved, which can more accurately detect subtle defects or o...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the traditional rainbow coding method in the pseudo-colorization process of the grayscale image of magnetic flux leakage data, the regions on both sides of the defect are relatively similar to the background color of the image, especially for the problem that the boundary resolution of the small defect region is not high. In view of the technical problems existing in the technology, an adaptive pseudo-colorization method for magnetic flux leakage data is provided with a higher degree of color discrimination for pipeline defects, welds and other areas and their boundaries

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