Infrared small target detection using weighting LoG operator

A new algorithm based on weighting LoG operator and morphological processing was proposed to solve the remote infrared small target detection problem. Firstly, the image was processed by using weighting LoG operators with different scales, and the max characteristic image of response value was extracted. Then, the morphological process was conducted to remove the image noise, and the Otsu binarization segmentation clustering was done. Finally, the position coordinates on the image of target point were output. Experimental result shows that compared with classical filtering method, the proposed method has obvious advantages, the signal to clutter ratio (SCR) gain is 36.9, the background suppress factor (BSF) is 4.7.