Abstract:

According to the imaging characteristics of X-ray images, we propose a self-calibration method for 3D reconstruction of X-ray images. Firstly, the matching relationship of profiles between two adjacent X-ray images is obtained by using the SIFT algorithm. Then, the fundamental matrix is achieved by calculation according to the matching relationship. Thirdly, the initial values of the intrinsic parameters of the X-ray non-destructive testing equipment are estimated by using the fundamental matrix. Finally, the intrinsic parameters are optimized based on the improved Kruppa equation, and the intrinsic self-calibration parameters of the 3D reconstruction of the X-ray image are obtained. According to the intrinsic parameters before and after optimization, the 3D models are established. Comparative experiments are carried out from two aspects: shape and key dimension error, which proves that the optimized intrinsic parameters have higher precision and reliability.

Key words: self-calibration , optimization algorithm;X-ray image;intrinsic parameter;SIFT;3D reconstruction