Research On Electronic Eliminate Rotation Technology Of The Video System

With the development of information technology, modern warfare has gradually changed from the traditional mechanized warfare to the information warfare. Video Electronic racemic (DL) technology receives widespread attention in the military fields of Missile Video surveillance systems, TV Terminal Guidance weapons systems and has become to be the research priorities of ammunition information technology. To meet the needs of Missile Video surveillance system this paper improves the current machinery and electronics way for racemic based on the Missile Video surveillance systems. Ultimately the paper presents a pure electronic racemic (DL) algorithm for Missile Video systems and the hardware platform is built up. Paper's contributions are as follows:1. This paper proposes an improved amplitude spectrum based Fourier-Mellin algorithm Fourier by studying the nature of the Fourier transform image of the amplitude spectrum and the application of phase spectrum in estimation for image motion vector according to the shortcomings of traditional Fourier-Mellin algorithm when the video image translation, rotation and scaling of the situation exist. Experimental results show that the algorithm can estimate the rotation, translation and other vector parameters of a complicated motion model .The complexity of the algorithm has greatly improved comparing to the traditional Fourier-Mellin algorithm.2. This paper proposes an improved Harris corner detection method by increasing the gradient operator of two bevels according to the shortcomings of traditional method. The new method enhance the rotation invariant operator, and the traditional Harris corner detection method for smooth filtering window is changed to Epanechnikov window from the Gauss window, the index operation is changed into square operation which greatly reducing the extraction computation of feature points. Experiments show that the consistence degree is increased 17% by the new Harris corner detection method comparing to the traditional Harris corner detection method, which meet the demand of rotation invariant for Video Electronics racemic algorithm better.3. This paper presents a regional selection method with rotation invariant features, in order to improve the Harris corner by this method we get Harris corner point as the center of the circle and radius r as the characteristic area, so regardless of how to rotate the region, the pixels remain unchanged, the experimental results show that the method selected by the characteristics of this region can meet the requirements of rotational invariance for Video Electronics DL algorithm.4. For the video images which rotate around non-fixed axis, according to the current algorithm, the time domain DL operator applies only to the video image with small angle rotation, and the frequency domain algorithm based on Fourier-Mellin DL algorithm can not meet the real-time demand. According to the requirement for these deficiencies, this paper presents a time domain probability model based on non-participation (NPDM) video e-DL algorithm, the method establish the non-participation Model in the improved Harris corner selection chararcstic area , The algorithm realizes the video e-DL by determining the similarity of characteristic model between images through the Bhattacharyya coefficient. Through the algorithm and experimental results, NPDM e-DL algorithm can satisfy the accuracy and real-time requirements of the system.