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Infrared/visible image matching is a hot issue and challenge in the state-of-the-art research on image matching. A matching method of infrared/visible image is proposed based on edge extraction by applying a novel detector and descriptor with high performance, coined SURF (Speeded Up Robust Features), in view of the features that there is a large difference, even contrast inversion and consistent contour between infrared and visible image in image details. The method can solve the problem that infrared/visible image matching could not be completed by using SURF directly. It achieves good results with high speed according to the experimental results.