For the inaccurate problem of the estimation of the blood flow velocity which is caused by the clutter signal in ultrasound Color Flow Imaging (CFI), this paper proposed a clutter suppression method based on dynamic region polynomial regression and Singular Value Decomposition (SVD), called ARS algorithm. First, according to the time-domain characteristics and the energy intensity of the echo signal, this method adopted the dynamic partitioning method to distinguish the range of signal; then, according to the divided range, polynomial regression method or SVD method was selected to dynamically reject the clutter signal. This paper made a simulation to compare the proposed method with the projection initialized Infinite Impulse Response (IIR) filter, the non-stationary filter, the regression filter and the SVD algorithm. The experimental results show that the proposed method can completely reject the interference of tissue motion (the velocity is almost zero in the tissue area and the clutter-to-blood ratio is about 5.427 dB after the clutter suppressing is implemented), the estimated maximum blood flow velocity (0.968 m/s) is close to the theoretical value and the blood flow distributes uniformly, the integrity of the blood flow velocity profile can be better maintained and the achieved blood flow velocity map illustrates the authentic flow velocity and high image quality.