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- W4292581821 abstract "In order to improve the efficiency of radiographic evaluation, the method of image processing was used to extract weld defects. According to the characteristics of weld radiographic image, a defect recognition algorithm based on image segmentation was proposed. The algorithm was divided into three stages: image preprocessing, weld segmentation and defect segmentation. Firstly, the influence of different image enhancement algorithms and filtering methods on the preprocessing effect of weld X-ray image was analyzed. Then an automatic segmentation method based on connected region size was proposed. Finally, the local threshold binarization and flooding filling algorithm were used to extract the potential defects, and the aspect ratio, circularity and effective area were calculated. The results show that the extracted parameters can reflect the shape features of actual defects." @default.
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- W4292581821 date "2022-01-01" @default.
- W4292581821 modified "2023-09-27" @default.
- W4292581821 title "Segmentation-Based Automatic Recognition for Weld Defect in Radiographic Testing Image" @default.
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- W4292581821 doi "https://doi.org/10.1007/978-981-19-3902-0_3" @default.
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