Small Moving Infrared Target Detection Algorithm under Low SNR Background

In the infrared imaging guidance system, small targets of infrared image is disturbed by the background and noise, which results in low SNR and brings difficulty to target detection. Therefore, firstly we use mathematical morphology filtering based top-hat transform to suppress the background of the digital infrared image. After that, we get the union resulted from WTT and BTT. And then, using adaptive threshold segmentation algorithm, we obtain the image which contains the small target. The experimental results prove that, when the SNR reaches 2, this approach presented by this paper is an effective method for small infrared moving target detection.