Quantitative Surface Crack Evaluation Based on Eddy Current Pulsed Thermography
Quantitative Surface Crack Evaluation Based on Eddy Current Pulsed Thermography
复制标题
基于涡流脉冲热成像的表面裂纹定量评估
DOI：
10.1109/jsen.2016.2625815
复制
发表时间：
2017-01-15
影响因子：
4.3
通讯作者：
Gu, Liangyong
中科院分区：
文献类型：
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作者：
Li, Xiaoqing;Gao, Bin;Gu, Liangyong
涡流脉冲热成像（ECPT）是一种新兴的无损检测技术，具有快速非接触和大面积检测的能力，应用范围越来越广。ECPT包含前处理、后处理和客观定量评估的闭合过程循环很少被提出。本文提出了一套完整的基于ECPT平台的表面裂纹检测前后处理策略。此外，还涉及定量评价，以客观地评价可探测性。提出了一种基于直方图分组思想和迭代自适应方法的图像后分割算法，该算法能更好地定量识别和确定缺陷大小。人工金属和自然缺陷的实验测试已经进行了证明所提出的策略的可靠性。本文可进一步应用于其他类型缺陷的检测、定量评价，并有助于机器视觉行业自动化视觉检测的发展。
Eddy current pulsed thermography (ECPT) is an emerging non-destructive testing technology and has an increasing span of application with capabilities of rapid contactless and large surface area detection. The close process loop of ECPT that contains pre-processing, post-processing, and objective quantitative assessment is rarely presented. This paper proposed a complete strategy aims to perform pre- and post- processing for surface crack detection based on ECPT platform. In addition, the quantitative evaluation is involved to objectively evaluate detectability. Specially, a new post-image segmentation algorithm is proposed which based on the idea of grouping histogram and iterative adaption approach that leads to better performance for quantitatively identifying and sizing the defect. Experimental tests on man-made metal and natural defects have been conducted to show the reliability of the proposed strategy. This paper can be further applied for other types of defects detection, quantitative evaluation, and aid in the development of machine vision industry for automated visual inspection.