In order to improve the detection effect of the weak small infrared targets, we present an improved morphological filtering algorithm based on the classical mathematical morphology filtering. In the algorithm, the combination of morphological operations, multi -scale and multi -structure elements are used to filter the image. The experiments are simulated on the MATLAB platform, and the results evaluate the effectiveness of the improved algorithm.
KEYWORDSmorphological filtering, multi-scale and multi-structure elements, infrared image preprocessing.
In recent years, the tracking methods for near-air infrared objects have been developed rapidly, but there is no dataset for the evaluation of these methods. In view of this, a series of near-air infrared sequences was collected by the aircraft, then the dataset for near-air infrared object tracking was accomplished. The dataset is aimed at various challenges of the short-term single-object tracking, and it followed the VOT-TIR2015.
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