Background Suppression Based on Improved Top-Hat and Saliency Map Filtering for Infrared Ship Detection

Abstract

Infrared ship detection aiming at remote-sensing image is important in image processing to get priority in current war today. A background suppression method based on improved Top-Hat filtering and saliency map is presented for the detection. Firstly, Top-Hat filtering with linear combination of the open and close operators is utilized on the infrared remote-sensing image input. The filtering employs different structure operators with the same shape as the object image. Then the architecture of the Itti-Koch saliency-map model is utilized on the grayscale infrared image to intensify the interesting objects by visual effect principle. The results show that the improved background suppression method proposed can project the salient domain and detect more possible ship targets cleary.