Design Of The Image Processing Module And Analysis Of Algorithms In An Image Tracking System

Image tracking system is a real-time tracking system, which takes advantage of characters of image to track moving targets in the air or on the ground. It is the quick development of micro-electronic technology,computer technology and the optimum design of image tracking algorithm that build the software and hardware foundation of the implement of image tracking system. They also greatly improve the real-time and intellective attributes of the system. The paper presents the functional framework and the concrete design method of an image processing module which is the key part of an image tracking system. An efficient algorithm of image tracking is deduced and implemented in real-time DSP. On the requirement of image tracking system, this paper issues that image processing module is composed by two functional modules, which are wavegate circuit and real-time image processing system. The main function of wavegate is the collection of image data and the production of control signal of the system; that of real-time image processing system is to process the image data acquired by wavegate circuit and set the coordinate of wavegate in advance. Focused on the functional characteristic of image processing module, this paper present a concrete method of design. There are two parts of this project, they are the design of real-time image processing system with the core of the Fixed-Point DSP and the design of wavegate with the core of CPLD. The whole hardware design adopt the architecture which is combined of digital signal processing system and ASIC. It has high-speed signal processing ability. On the image tracking algorithm, this paper design a tracking algorithm of centroid to binary image, which is high precision and with the structure easily be processed by DSP. The Binary threshold and the abstract and forecast of centroid is the key to this algorithm. The algorithms have been validated and implemented in the TI Fixed-Point DSP.