Texture Based Infrared Military Target Extraction

Abstract

The innovation of this paper is that it forwards a new algorithm of target extraction form military infrared images with texture background according to the Mean-shift smooth and segmentation method combined with eight directions difference clustering. According to the texture characteristics of background image, smoothing and clustering are both carried out to extract the characteristics of target. The method is relatively simple making it easy for practical applications. The experimental results show that the algorithm is able to extract the target information form complex military infrared texture background with better self-adapting and robustness.