As it is likely to generate redundant contours by fuzzy-threshold-based infrared image segmentation method and it is sensitive to initial contour by level set segmentation method,an adaptive segmentation method of infrared image based on fuzzy threshold and level set is presented.Firstly,this algorithm introduces 2-D Otsu to calculate a threshold,and then the window width of fuzzy threshold is obtained based on the threshold from 2-D Otsu.Then,the adaptive fuzzy threshold is adopted to pre-segment infrared images,and the initial contour of level set is obtained depending on the pre-segmentation result.Finally,an improved level set method by combing Chan-Vese method and Shi method is proposed,and the improved level set method is adopted to segment infrared images.The results of experiments prove that this algorithm has better segmentation effect and robustness.