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VISION-BASED FATIGUE CRACK DETECTION USING FEATURE TRACKING
VISION-BASED FATIGUE CRACK DETECTION USING FEATURE TRACKING
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机译:基于特征跟踪的基于视觉的疲劳裂纹检测
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摘要
A computer-vision-based fatigue crack detection approach using a short video is described. Feature tracking is applied to the video for tracking the surface motion of the monitored structure under repetitive load. Then, a crack detection and localization algorithm is established to search for differential features at different frames in the video. The effectiveness of the proposed approach is validated through testing two experimental specimens with in-plane and out-of-plane fatigue cracks. Results indicate that the proposed approach can robustly identify fatigue cracks, even when the cracks are under ambient lighting conditions, surrounded by other crack-like edges, covered by complex surface textures, or invisible to human eyes due to crack closure. The approach enables accurate quantification of crack openings under fatigue loading with good accuracy.
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