| Strapdown Visible Light Guidance is an image processing solution to the target image information of the visible light detector mounted on the seeker,so as to obtain the corresponding missile attitude control signal to control the missile to accurately lock the target.The aim of the project is to design a low cost full automatic guidance system based on television visible light imitating the "spike".The problem of image stability and target tracking in the flight process of simple strapdown visible light guided ammunition is studied.This paper mainly studies two questions: the image stabilization problem and the target tracking problem under the strapdown guidance system respectively.Firstly,according to the lens imaging principle,the suitable camera and lens are selected in combination with the needs.Then aiming at the problem of severe jitter in Strapdown TV guided ammunition during flight,a real-time electronic image stabilization method combining optical flow and binary feature matching is proposed.This method combined with Kalman filter,using the binary feature matching at intervals to correct the continuous trajectory of the optical flow method.This method reduces the cumulative error of optical flow in the face of a large range of motion and increase the accuracy of the algorithm so that the stabled images will not deviate from the main motion.At the same time,the algorithm has strong robustness and real-time performance.In binary feature matching,an improved RANSAC algorithm is proposed to eliminate mismatching points.The algorithm can effectively cope with many situations of large angle transformation,rotation,illumination and scale transformation.It has a certain robustness.The improved RANSAC algorithm can effectively reduce the number of motions computation under the premise of guaranteeing a certain matching accuracy,significantly reducing the running time compared with the original algorithm.Finally,a tracking plus detection generalized tracking algorithm(LCSVM)is proposed based on LCT.This algorithm not only has a good short-term tracking performance on OTB data sets,but also has the ability to cope with more severe conditions such as light changes,scale changes,occlusions,fast motion,out of view,and the like.Especially in the face of occlusion and out of view,the algorithm has the incomparable performance compared with other short-time tracking algorithms.It satisfies the real-time,accurate and robust guidance and tracking.The electronic image stabilization algorithm and the tracking algorithm are cascaded to satisfy the demand of the visible light guidance munitions. |