Automatic image thresholding segmentation based on two-dimensional Maximum Correlation Criterion(MCC) was proposed.On the base of two-dimensional histogram,this method maximizes the correlations associated with the distributions of the background and object classes to obtain the optimal threshold, and it has greater resistance capability to noise than one-dimensional MCC.At the same time,Genetic Algorithms(GA) was used in the establishment of the optimal threshold based on the two-dimensional MCC.The experimental results show that the proposed algorithm achieves a good segmentation quality and shorten the computational time.