针对风力机叶片的玻璃纤维复合材料的特殊性，使用红外持续热激励无损检测技术，同时用傅里叶变换与对比度受限自适应直方图均衡化（CLAHE）对红外图像进行增强处理。先对连续多幅红外热像图组成的温度序列进行快速傅里叶变换，提取出相位信息，得到相位图；在此基础上，挑选效果最好的一张相位图，对其进行CLAHE算法处理，以提高图像的全局对比度。结果表明：经过增强处理，红外图像的对比度信噪比（CNR）高于其他传统方法的，说明该处理方法有效，同时通过对现场采集的风机叶片红外图像的验证试验，验证了此方法的有效性与准确性，极大地提高了风力机叶片的红外热成像缺陷的识别能力。

In view of the particularity of wind turbine blade FRP composites, infrared continuous thermal excitation nondestructive testing technology is used. The infrared image is enhanced by Fourier transform and contrast-limited adaptive histogram equalization (CLAHE). Firstly, the temperature sequence composed of consecutive multiple infrared heat maps is fast Fourier transformed, and the phase information is extracted to obtain the phase map. On this basis, the best phase map is selected and processed by CLAHE algorithm to improve the global contrast of the image. The experimental results show that the contrast to noise ratio (CNR) of infrared images is higher than other traditional methods after enhanced processing, which shows the effectiveness of the processing method. At the same time, the infrared image of the fan blade is collected and verified. This method is effective and accurate. The ability to identify infrared thermal imaging defects of wind turbine blades is improved.