Design of Missle Borne TV Guidance Image Processing Semi-physical Simulation Platform

Real-time detection and tracking of moving target is an important part in modern warfare, its authenticity and real-time quality determine the success or failure of the war. This article has designed a DSP based moving target detection and tracking semi-physical simulation system in the application background of conventional missile guidance. A modified difference method is proposed to detect and track moving targets in combination with the Camshift algorithm. It makes up for the lack of a single algorithm. And designs image processing platform with DM642 as the core and the camera automatic tracking control pan-tilt, Finally, the simulation of the system is carried out, Experimental results show that the system has good robustness and real-time performance. Introduction Computer vision is a very important part of modern high tech local war, and it plays a great role in many fields of military defense. With the advantages of high precision, high power and strong mobility, the missile using the precision guidance technology is gradually being favored by the countries all over the world. Under this background, the TV guidance [1] is a kind of precise guidance technology, which has important practical significance for the research of the core target detection and tracking system. Therefore, this paper designs a DM642 [2] based image processing platform, including video capture module, memory module, image processing module, communication module and so on. And through the tracking control platform achieve real-time tracking of moving target. In this paper, the designed platform is DM642 to process the collected image, combined with the improved differential algorithm and Camshift [3, 4] algorithm to obtain the edge contour and motion information of the moving object. And pass the information obtained to control platform [5, 6] to drive motor to control camera to real time tracking of moving target. So this system should include two parts: image processing platform and tracking control platform. Principle of moving object detection and tracking algorithm Moving object detection and tracking based on image sequences is the core of TV imaging guidance technology. In recent decades, image processing technology has developed rapidly which has formed a variety of categories of moving target detection and tracking algorithm [7]. It is important to choose what kind of technology to deal with the image, which is related to whether it can accurately detect or accurately target the strategic target. Moving object detection. The most commonly used moving object detection method is the frame difference method [8], and frame difference method is to detect the moving object by the difference between the two adjacent frames in the image sequence. The formula is as follows. 1 ( , ) ( , ) ( , ) k k k D x y f x y f x y   (1) 1 ( , ) ( , ) 0 ( , ) k