【摘 要】
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A fast and effective method is proposed to detect weld defect adaptively in various types of real-time X-ray images obtained in different conditions.After weld
【机 构】
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Key Laboratory for Advanced Materials Processing Technology
论文部分内容阅读
A fast and effective method is proposed to detect weld defect adaptively in various types of real-time X-ray images obtained in different conditions.After weld extraction and noise reduction,a proper template of median filter is used to estimate the weld background.After the weld background is subtracted from the original image,an adaptive threshold segmentation algorithm is proposed to obtain the binary image,and then the morphological close and open operation,labeling algorithm and false alarm eliminatiug algorithm are applied to process the binary image to obtain the defect detection result.At last,a fast realization procedure for proposed method is developed.The proposed method is tested in real-time X-ray images obtained in different X-ray imaging systems. Experiment results show that the proposed method is effective to detect low contrast weld defects with few false alarms and is adaptive to various types of real-time X-ray imaging systems.
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