Research On IR Imaging Guidance Using Fly's Visual System

Today, infrared imaging guidance has been one of the most precise guidance techniques. But today's target imaging detecting techniques, including scanning imaging and gazing-array imaging, is difficult to detect 360?range using one detector, and it is difficult to launch and attack with full of orientation. Under this background, fly's compound eyes give us a good edification. Aiming at some problems about fly vision applying to imaging guidance, such as, algorithm and realization of motion-detectors array, image mosaic technique of imitating compound eyes, target detection of compound eyes, realization of compound eyes in missile, and so on, the main contents of this paper are as follows:1 . Motion-detector of fly's compound eyes and determination of velocity of moving image.This paper describes the algorithm of elementary motion-detector and motion-detector arrays, including the characteristic and space conformity. The formula based on spectrum density is given. It discusses motion-detector response to narrow-band image motion and to broadband images. Studies show that the motion-detector can provide velocity estimates in organism's natural visual environment, and physiological prefilters can improve determination of velocity of moving image. This conclusion is affluent in the theory of Reichardt EMD, and it is the complementarity of HMD theory. This paper also discusses the realization of motion-detector, the circuit is given, and experiment result accords with theory and fly vision.2. Image mosaic technique of imitating compound eyesThis paper puts forward a registration method based on space coordinate. Aiming at multiple frames static scenes, a new image mosaic method imitating compound eyes is presented based on wavelet multi-scale analysis. A new ruler of image mosaic is founded. Aiming at multiple frames video sequences with moving objects, a new image mosaic method imitating compound eyes is presented based on image's characteristic. Now. some mosaic algorithms are local optimizing. These two methods overcome thosedisadvantages, and are global optimizing.3. Method of infrared image processing imitating fly visionThe Figure-Ground Discrimination System is discussed; the formulas of output response are given about Large-Scene system and Small-Scene system. This paper discusses the method about fly lateral inhibitory networks applying to image preprocessing. Aiming at target detecting mechanism of fly vision, we propose a new method for infrared image segmentation using the fuzzy entropy. Its segmentation velocity is fast, and can be satisfied with the feature of real time.4. Infrared target recognition imitating fly visionThis paper proposes a new method based on edge moment invariants and the infrared target feature for feature extraction. A new target recognition method based on support vector machine is proposed. Studies show it is faster than the others, and it is proved to be effective.5. Applying fly vision system to imaging guidanceA new physical model of imaging seeker is proposed, this seeker imitates fly's compound eyes, can realize 360?searching range. According to this model, we simplify the registration method of image. At last, a synthetical application flow is given about fly vision applying to imaging guidance. It expands the thought for latter research.