Aiming at the problems of large calculation amount and obvious error association when traditional plot fusion methods are used for point data association processing in dense clutter environmentwe proposed a new data association method based on point state image processing.Firstlythe imagination of the point measuring was implemented according to sensor detection performance and the estimated target speed rangeand the image of point state was obtained.Secondlythe clutter points were eliminated by using image morphologic processing such as neighborhood connectivity discrimination and so on.Based on the time information included in the points corresponding to the pixel pointsthe classification of the points of different targets was realized by connected component labeling processing.Simulation result shows that the algorithm can avoid the combinatorial explosion in theoryreduce the amount of computationsolve the problem of error associationand improve the accuracy of the data association processing.