Atmospheric corrosion detection of field-exposed metallic materials by image recognition

D. Xia
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Abstract

: Our group has focused on the filed corrosion detection by using image recognition in the past 30 years. Atmospheric corrosion is accompanied by the changes in surface structure, morphology, and composition. These changes can be recorded by a variety of image acquisition devices that export digital images in grayscale or true color to a detector. Information regarding corrosion type and extent can be extracted with image processing methods. Digital image processing systems used to assess material degradation are briefly illustrated, and the algorithms developed to process metallic materials degradation images are described. Future work that will augment the present methods of evaluating material degradation are discussed.
野外暴露金属材料大气腐蚀的图像识别检测
在过去的30年里,我们的团队一直专注于利用图像识别进行腐蚀检测。大气腐蚀伴随着表面结构、形态和成分的变化。这些变化可以通过各种图像采集设备记录下来,这些设备将灰度或真彩色的数字图像输出到检测器。通过图像处理方法可以提取有关腐蚀类型和程度的信息。简要说明了用于评估材料退化的数字图像处理系统,并描述了用于处理金属材料退化图像的算法。未来的工作,将扩大现有的评估材料降解的方法进行了讨论。
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