A fast image mosaic algorithm based on feature points matching with excellent results is presented in this paper and two outstanding methods in this algorithm are proposed. The first one is importing a new filtering method for matching points by choosing pairs of correlation feature points with clustering algorithm aiming at the disadvantage of RANSAC algorithm. The efficiency of the algorithm is enhanced by doing this. The other one is raising another new method of blending images by using optimum path best-matched-line combined with pixel brightness weighting function in HSI color space.As a result，the gusting phenomenon is removed and a brightness blending image is achieved. Several results show that this is a highly-matched robust image mosaic algorithm.After choosing data with clustering algorithm beforehand，the efficiency is greatly enhanced.And this algorithm also has prevented ghosting phenomenon and can make images blending naturally at stitching areas.