Aiming at the problem of poor effect of X-ray and ultrasonic technologies in non-destructive detection of glass fiber reinforced plastic (GFRP), characteristics of high resolution of Xray images and high contrast of ultrasound images are used for complementary imaging fusion, and by integrating the detail information of the defect edge of X-ray images and the high contrast outline information of ultrasonic images, new images are formed to improve the defect display effect. The frequency domain algorithm based on cross sector filter is used to remove the horizontal and vertical fringe noise of X-ray images, the morphological filtering algorithm is used to remove the salt and pepper noise of ultrasonic images, and the image fusion algorithm based on region segmentation and static wavelet transform is proposed to fuse X-ray and ultrasonic image traits. The test results show that the standard deviation SD of the fused images is increased by 154.1% on average, the entropy H is decreased by 92.2% on average, and the contrast of defect detection images is higher and the edge details are clear. The algorithm can effectively remove the fringe noise and pepper and salt noise in the two kinds of images, and can effectively improve the weakness of low contrast of X-ray images and poor resolution of ultrasonic images, and provide a new idea for the defect damage detection of composite materials.