Radiographic image weld seam extraction method based on beetle antennae search algorithm and mathematical morphology

Abstract

The invention discloses a radiographic image weld seam extraction method based on a beetle antennae search algorithm and mathematical morphology. The method comprises the following steps: firstly carrying out preprocessing on a radiographic image, graying the radiographic image to obtain a gray level image, and carrying out two-dimensional adaptive wiener filtering processing at the same time; then carrying out threshold segmentation on the gray level image, searching an optimal threshold value for binarization processing on the radiographic image by utilizing the beetle antennae search algorithm and a clustering idea, and carrying out the threshold segmentation on a to-be-segmented radial gray level image according to the searched optimal threshold value, so as to obtain a binary image; and finally extracting a weld edge of the radiographic image, and carrying out denoising, object deletion and boundary extraction on the binary image, so that the weld seam edge of the radiographic image is obtained. The method disclosed by the invention combines the beetle antennae search algorithm with the clustering idea, the radiographic image with a binary weld seam can be rapidly and effectively obtained, and multiple basic operations of binary morphology are also organically combined together, so that the method is applicable to edge extraction of a weld seam image, and a smooth and continuous weld edge which is not interfered by defect areas can be extracted.

Description

technical field [0001] The invention belongs to the technical field of radiography detection image defect type identification, and in particular relates to a method for extracting welding seams of radiography images based on the beetle beetle algorithm and mathematical morphology. Background technique [0002] Radiographic testing is an important non-destructive testing method for detecting internal defects of welds. Usually, ray is used to irradiate the workpiece to be tested, and the radiograph corresponding to the internal defects and structure of the workpiece is obtained for defect detection. Traditional radiographic film evaluation mainly relies on manual work, but manual film review is highly subjective, poorly consistent, and labor-intensive. Therefore, the use of automatic identification technology for radiographic inspection of welding defects to assist film reviewers to complete defect identification has become the focus of current research. Since the weld defects...

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Problems solved by technology

[0003] However, most weld boundary extraction methods do not consider the existence of weld defects, and because defects also have edges and their gray values ​​are low, when performing weld edge extraction, defect edges will also be extracted to varying degrees , which affects the results of weld edge extraction

At the same time, weld seam extraction is only a part of the radiographic inspection welding defect type identification technology system, and its extraction process should be rapid and efficient, otherwise the efficiency of defect type identification will be reduced

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