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首页> 外文会议>International Conference on Materials and Products Manufacturing Technology >Automatic Identification of Crack in Ultrasonic Infrared Imaging
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Automatic Identification of Crack in Ultrasonic Infrared Imaging

机译：超声波红外成像中的裂缝自动识别

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摘要

Ultrasonic Infrared Imaging is a novel NDE technique, which performs well on material internal defect detection, such as metal fatigue crack, composite material impact damage and adhesion and so on. Traditional defect identification often depends on eyes and professional experience, which can't give a clear conclusion of defect information. The identification algorithm based on time sequence images is low-level. Therefore, taking the crack detection in Ultrasonic IR Imaging as an example, after contrastive analysis of shape characters and gray distribution between crack region and normal region, characteristic parameters for different regions was creatively extracted in this paper. An automatic recognition algorithm based on Weighted Support Vector Machines is put forward for crack recognition. Subsequently, the correctness of the algorithm was validated by experiments.
机译：超声波红外成像是一种新型NDE技术，其对材料内部缺陷检测良好，例如金属疲劳裂纹，复合材料冲击损坏和粘合等。传统的缺陷识别通常取决于眼睛和专业经验，这无法明确结论缺陷信息。基于时间序列图像的识别算法是低电平的。因此，在超声红外成像中采取裂缝检测作为示例，在裂缝区域和突出区之间的形状特征和灰色分布的对比分析之后，在本文中创造性地提取了不同区域的特征参数。提出了一种基于加权支持向量机的自动识别算法进行破裂识别。随后，通过实验验证了算法的正确性。

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