提出了一种快速二维熵阈值分割方法，将计算复杂性从一般二维熵方法的Ｏ（Ｌ４）减少至Ｏ（Ｌ２）．实验证明，对每一幅图象运算时间从２ｈ以上降到１０ｓ以内，同时计算所需存贮空间也大大减少．该算法提高了计算效率 A fast two-dimensional entropy threshold segmentation method is proposed to reduce the computational complexity from O (L4) to O (L2) in the general two-dimensional entropy method. Experiments show that for each image processing time from 2h to 10s less than the same time, the required storage space is also greatly reduced. The algorithm improves the computational efficiency