Automatic tracking method for video microimage cells based on KHM algorithm

The invention discloses an automatic tracking method for video microimage cells based on a KHM algorithm, which mainly overcomes the defects that the traditional tracking method has lower automation degree and the accurate tracking can not be carried out when special conditions occur. The automatic tracking method comprises the steps of: 1, completing binarization segmentation of a cell image by using a watershed method, and extracting target cells; 2, establishing a uniform motion power model for each target cell and initializing; 3, clustering a binary image of the next time by using the KHM algorithm to obtain center positions of all cells; 4, determining positions of the target cells at the next time through the association of the target cells, completing the tracking of motor cells; 5, updating state vectors of the target cell models and error covariance matrixes thereof in the step 2; and 6, circulating the step 3 to the step 5 until the last frame image is tracked. The invention has the advantages of accurate determining of center positions of the cells and good tracking effect under special condition, and can be used for medical image processing.