The invention provides a system for measuring an artery input function in dynamic perfusion image post-processing. The system comprises: a preprocessing module, which is used for preprocessing original time density curves, and screening out curves with regular shapes as an initial curve set; a clustering analysis module, which is used for performing clustering analysis on the initial curve set, and selecting one type of curves with a minimum clustering center as candidate curves; a post-processing module, which is used for marking voxel positions corresponding to the candidate curves in a three-dimensional space, calculating connected components of the space and a number of voxels of each component, removing components smaller than a set volume, and calculating an average curve of each remaining spatial component to obtain target curves; a classification module, which is used for extracting characteristic parameters of the target curves, calculating the conformity of the target curves by using a linear weighting model, and screening out a final AIF curve according to the conformity. The system can efficiently and stably obtain an AIF curve.