This paper presents a Multi-scale feature extraction algorithm，which computes the maximum of the features in moving windows using fast algorithm reduces the search redundancy and obtains the matching features using the nearest neighbor matching algorithm .The experimental results show that this algorithm is faster than the SIFT and MOPS，and has more stability than Harris algorithm.The algorithm can be used in image registration and target tracking.