研究了应用超声红外技术检测复合材料试件冲击损伤缺陷。针对红外图像对比度差、缺陷轮廓模糊等特点, 采用具有非高斯核函数的LBF模型进行了缺陷的边缘检测, 利用缺陷边缘实现了缺陷的定量分析。从试验结果可以看出, LBF模型相对于其它常用的边缘检测方法, 能够很好地检测低对比度红外图像的目标边缘, 为复合材料缺陷的定量分析奠定了基础。从缺陷的长度和宽度定量计算精度可见, 超声红外检测方法对于复合材料的缺陷是一种有效的检测手段, 为复合材料的研制提供了强有力的技术支持。

The ultrasonic excited thermography nondestructive testing was utilized in detecting an impact damage of a composite material. Considering the thermal images characteristics of low contrast und edge fuzziness, a LBF model based on a non-Gaussian kernel function was used to detect the defect edge and a quantitative calculation was performed. The experiment result showed that the LBF model could effectively identify the object edges of low contrast thermal images, comparing to other common edge detection methods, which laid a good foundation for the quantitative assessment of composite defects. What is more, the detection accuracy of defect length and width showed that ultrasonic excited thermography nondestructive testing was an effective detect method for the defect detection of composite material, which provided powerful technical support for research and development of composite materials.