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An intelligent algorithm for infrared target recognition

Modern warfare is deeply influenced by the development of computer technology. And it gradually shows its high technology and high modern characteristics. In modern war, it can be attributed to the first mutual detection between both sides, and then the military attack. Aiming at the problem of infrared imaging guidance target recognition, an infrared target intelligent recognition device is proposed. First, the image pre-processing, including the use of median filter to eliminate noise and high pass filtering to image enhancement. And threshold segmentation is performed on the enhanced image using OSTU method. Then feature extraction of infrared image target based on Combined invariant moments as image features. At last, the BP neural network is used as an identifier to meet the requirement of the intelligent recognition of infrared target. By the extraction of a large number of samples for BP neural network training, so that it can automatically modify the threshold and weight and it can achieve the goal of infrared image target recognition under certain error conditions.