Infrared background suppression method based on low-pass adaptive morphological filtering

Abstract

Dim infrared targets often have low recognition accuracy in complex environments, because of its small size and low brightness. Therefore, this paper presents an infrared background suppression method based on low-pass adaptive morphological filtering. In this method, the infrared background noise is connected into multiple regions by low-pass filtering, the adaptive morphological mask is generated by local mean variance ratio and region growth, and then most of the background is suppressed by top-hat operation. The test results show that this method can suppress the background of infrared images and enhance the target signal.