Infrared Image Target Recognition Tracking Complexity Metrics

On the basis of the research on the working principle of infrared interference, the feature extraction processing of the target region and interference region from the infrared sequence image is carried out to obtain the mixed feature vector of each region, and combined with the knowledge of the image complexity, the similarity metrics and masking metrics are constructed on the basis of the specific factors affecting the target recognition and its tracking. Then the integrated complexity of infrared image sequence is realized by choosing suitable weighted average function and nonlinear transformation function. Finally, the validity of the proposed index is verified through the analysis of experimental results, and the integrated complexity of infrared image sequence can correctly represent the difficulty of the target recognition and tracking process of the infrared guide head, which can be used to evaluate the effect of infrared decoy jamming and further guide the selection of jamming projection strategy.