Abstract: To overcome the drawbacks that solutions based on traditional Digital Image Correlation（DIC） methods are possible local optimal values, the Particle Swarm Optimization（PSO） algorithm based on swarm intelligence is introduced into the DIC method. Displacements of points in a speckle image that is displaced an amount are calculated, and the DIC method based on the PSO is verified. If a few subsets in translated or deformed image are similar to a subset in initial image, the correlation coefficient distribution can possess some peak values. Displacements of two points in this kind of images mentioned above are calculated, and the trajectories of particles’ motion are demonstrated. It is found that the DIC method based on the PSO algorithm has strong global searching capability in the initial stage of computation, and the method has local searching capability in later stage of computation. Results show that the method can escape from being trapped into local optimal value. Effects of the subset size, the number of particles, the maximum velocity and the times of maximum of iteration on the calculation time are investigated.