A dynamic queue based pipeline filter for infrared dim small target detection

The pipeline filter algorithm is a classical method which combines the time domain with the spatial domain in the field of information processing, but for it has problem in suppressing the fixed position sharp noise and poor real-time performance, it is restricted in the infrared dim small target detection. To solve this problem, this paper establishes three-dimensional dynamic queue pipeline, raises a dynamic queue strategy and uses space-domain algorithm based on morphology Top-Hat operator to do a second searching to ensure the continuity of the target and the pipeline. The simulation results show that for infrared sequential image, especially multi-target image, the method proposed in this paper can detect and output target trajectory nearly real-time, while ensuring an ideal probability of detection and low false alarm rate.