It is difficult to refine edge transitional region for aero-optical degraded images due to aero-optical effects and unknown of transcendental message. To solve the problem we proposed an extracting and refining algorithm of edge transitional region for turbulence degraded images. Firstly adaptive region segmentation based on local variance was made to get edge transitional region. Secondly similar degree of noise and similar degree of edge were calculated for obtaining the narrow region close to heartland of edge transitional region. At last track refining to edge transitional region was implemented and the edge contour was extracted. The simulation result indicates that this algorithm which can extract well the contour message of turbulence degraded images has fine performance on region segmentation denoising refining and real-time capability.