A New Fusion Algorithm for Dim Target Detection Based on Dual-Wave Infrared Images

In this paper, a new approach to dim targets detection based on dual-wave infrared images is proposed. Based on the salient features and regional relativity of dual-wave infrared images. the algorithm gives relative fusion detection for target. Firstly, the source dual-wave infrared images are decomposed by wavelet transform, and the salient features of the images of each band are used to determine the potential target area. Secondly, based on the relativity of dual-wave images. the resulted wavelet coefficients are weighted. Finally, a threshold segmentation method is used for dim target detection in the restructured fusion image. Compared with traditional algorithms, the experimental results show that the proposed algorithm makes full use of the dual-wave infrared images, inhibits the background carrier and improves the SNR and detects dim target in higher probability.