Morphological Transformation for Infrared Small Object Detection

Infrared small target detection is a critical technique in an infrared system. In the past decade, many methods have concentrated on traditional top-hat transformation, which relies on the hand-crafted shape and value of structural elements. However, these methods are inevitably challenged by two aspects: (a) The structural elements cannot suppress heavy clutter because the construction of structural elements is always according to the prior information of the target and unable to consider the feature of clutter. (b) Adaptively extracting sufficient local feature information for background suppression is hard for the structural element. In this section, we propose two different algorithms based on morphological transformation.