The invention discloses a
white cell segmentation method based on multi-feature nonlinear combination. The method includes extracting the gray scale of white cells, color and
texture gradient information of CIE Lab space and spectrum information of the white cells; combining in a nonlinear manner;
processing the combined information in manners of orientated
watershed transform and ultra metric boundary mapping OWT-UCM, and acquiring
algorithm segmented results; performing corresponded parameter adjustment of the
algorithm segmented results and expert segmented results; determining parameters until acquiring a predetermined segmentation result, and finally using the parameters for segmenting other white cells. The method has the advantages that the single feature
noise influence is reduced, multiple pieces of feature information are combined in the nonlinear manner, the smaller training errors can be acquired as compared with that of the linear
combination method, and the better segmentation result can be acquired; meanwhile, the combination information can be adjusted in an iterative manner, parameters of the network can be adjusted, a target can be closer gradually according to the predetermined result, and the target
unavailability and inappropriate adjustment are avoided.