Infrared image enhancement and target extraction is an important technology in military aerospace field and national economic development.Aiming at the problems of low contrast,unclear feature information,serious clutter,low signal-to-noise ratio and blurred visual effects,the traditional high-cap transformation algorithm in morphology was optimized.An improved high-cap transform algorithm for infrared target enhancement and extraction is proposed.By introducing judgment value and weighted coefficient,the algorithm improves the high cap transformation enhances the infrared small target,uses iterative algorithm to process the image threshold,and then realizes the extraction of the small target.The experimental results show that the proposed algorithm can enhance the visual effect of infrared images,effectively extract small infrared objects,and facilitate the subsequent target identification and target tracking processing,which has a wide application prospect.