Research on High Robust Infrared Small Target Detection Method in Complex Background
Dali Zhou, Xiaodong Wang
Abstract
Realizing high robust infrared small target detection is of great significance in the face of complex and ever-changing infrared image sequences. In this letter, we analyze the inherent relationship between local contrast, local gradient, and local background gray value of infrared small targets from a new perspective. Based on this, a method for infrared small target detection based on local contrast and the local gradient is proposed. In addition, a four-direction model is proposed to reduce the interference of bright background clutter in the target neighborhood. The experimental results show that the method proposed in this paper has high robustness and is suitable for detecting small infrared targets in complex backgrounds.