The ammunition drop environment simulation system is mainly used for drop test of various ammunition, fuses, equipment etc. Aiming at the problems of high noise, complex edges and large amount of image data in the target drop image collected by high-speed camera in the field with complex background, a filtering algorithm integrating Gaussian kernel function and side window idea, an improved Hough line detection algorithm based on ROI and an automatic edge line extraction algorithm based on dynamic ROI update of image sequence are designed. It solves the problem of target edge diffusion in the process of denoising and time-consuming attitude angle calculation of image sequence. The experimental results show that the improved algorithm protects the edge features of high noise images, and the line detection time is less than 1/10 of the standard Hough transform time. It realizes the fast automatic extraction of the attitude angle of moving objects in multiple images, and the average absolute error of attitude angle calculation is 0.36%.