关键词制导 成像制导 跟踪 模式识别 实时图像处理
With the continuous development of science and technology, the modern guided weapons have been made more and more accurate and intellectual. The accurate guidance technology of"Launch and Forget"has already become the trend of the development of the modern guided weapons. This, in terms of both algorithm and hardware platform, has made still greater demands for the target-recognition technique in a complicated background. The thesis paper focuses on the theoretical analysis of algorithm, computer simulation, systematical design and its realization. The contents are as follows:
First of all, the paper has made a thorough study of the various aspects concerning the algorithm of target-recognition in a complicated background. The conclusions have been tested and simulated with computer. At the beginning, the article introduces several algorithms of pixel surface fractal dimension. After comparison, it has come to a conclusion that variation algorithm is the best. It has provided not only a way of quickly distinguishing between an artificial object and a natural object, but also a way of getting the rough contour curve through the changes in chain code. Then, in order to reduce the influence of the noise on the geometric and formal features of an object, the paper suggests an algorithm based both on subjective judgement and on the contour smooth of chain code, which can be made in the process of contour tracking. And, may, to a great extent, reduce the influence of the background and noise on the formal features of the object, and, at the same time, meet the real time needs. What's more, based on the comparison and analysis of the algorithm of various mould matching and feature matching, it is concluded that the new algorithm is the best for image matching at present. Through the analysis of the algorithm theory of the new image feature matching, it has got a simplified algorithm. Also, to reduce the influence brought about by the unstable intensity of the lighting in a complicated background, it recommends some compensatory measures. Thus, the simplified algorithm not only maintain the ability to reduce the changes in the intensity of lighting, but also, greatly reduce the amount of algorithm.
In addition, the writer of the thesis also designs a way of automatic recognition tracking guidance in the formation of an image, which divides the guiding process into three phases: the primary phase, the middle phase and the final phase. When the target is relatively small or hidden in the background, which is considered the primary phase, a matching tracking will be used. When the target becomes bigger or its features are more obvious, which is the middle phase, a feature tracking will be used. And when the guided missile comes nearer to the targets or the targets are full in the view field, which means coming into the final phase, the system, again, will use matching tracking, thus completing the whole process of the computer simulation.
At last, a system of target automatic recognition and tracking has been realized, which is based on the TMS320C80 image processing system of real time and real color, It has primary intelligence and can be used in engineering.