In order to realize the homogenization extraction of image features and improve the local aggregation of feature points, an improved AGAST feature extraction algorithm is proposed.By constructing the Gaussian pyramid of the image, the scale invariance of the feature points is realized.Then, the quadtree method is used to divide and screen the feature points, the homogenized distribution of the feature points is obtained, and the operation efficiency is improved by adapting the depth of the quadtree.The grayscale centroid method is used to calculate the direction of feature points to realize rotation invariance.The experimental results show that compared with other algorithms, the improved algorithm effectively improves the speed and uniformity of feature point extraction, and the extraction rate and homogenization are improved by 12.31% and 7.8% respectively.