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Weld region extraction in radiographic image based on template match and gray enhancement

机译:基于模板匹配和灰度增强的放射线图像焊接区域提取

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In order to obtain good welding quality, it is necessary to apply quality control because there are many influencing factors in the X-ray welding process. The key to realize welding quality control is to obtain the quality information. Automatic detection of weld defects (ADWD) is an important part of the welding quality assurance, while the extraction of weld region is the base of feature extraction and defects recognition. An algorithm which is based on gray enhancement is proposed in this paper. Experimental results show that this method can significantly suppress noise interference, improve the accuracy of edge detection in noise Sound and more blurred edge X-ray image can be achieved than active contour model and fuzzy kernel clustering better results.
机译:为了获得良好的焊接质量,必须进行质量控制,因为在X射线焊接过程中会有很多影响因素。实现焊接质量控制的关键是获得质量信息。焊接缺陷自动检测(ADWD)是焊接质量保证的重要组成部分,而焊接区域的提取则是特征提取和缺陷识别的基础。提出了一种基于灰度增强的算法。实验结果表明,该方法可以显着抑制噪声干扰,提高噪声中边缘检测的准确性。与主动轮廓模型和模糊核聚类相比,该方法可以得到更模糊的边缘X射线图像。

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