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In the existing adaptive segmentation methods still exist difficulties,and traditional fuzzy threshold segmentation methods can not automatically obtain the window width,under the premise of determining membership functions. According to image histogram,an adaptive fuzzy threshold image segmentation method is proposed to extract target features for airports by using the burst method of calculation and the inverse transform. The method realizes the adaptive selection of window width,and overcomes the disadvantage of fuzzy threshold methods for image histogram difficulty without obvious bimodal effectively,expands the application scope of fuzzy threshold image segmentation methods,which improves segmentation results of the fuzzy threshold segmentation methods. Experimental results show better segmentation results and efficiency can be achieved by the proposed method with single peak and multi-peak distribution histogram. 