It is of great significance to study the attitude parameters of projectile target intersection for weapon damage effectiveness evaluation. The attitude parameters of projectile are usually extracted based on field experimental images. Therefore, in view of the problems such as high noise interference intensity, low imaging contrast and difficult control of the accuracy of central axis extraction of projectile in field experimental images, etc. The edge preserving and denoising algorithm based on Gaussian and adaptive median filtering, the filling and segmentation algorithm based on Canny edge detection and the central axis extraction method based on the target edge contour are designed. The results show that the influence of the external field noise and the uneven brightness of the projectile surface are significantly reduced. The edge preserving and denoising of the projectile image, target segmentation and extraction are realized, and the central axis of the projectile is detected automatically. The result is that the linear equation of the central axis on the image plane is extracted effectively.