中文摘要：

利用快速二维熵的图像分割方法因其运算量大而影响了它的实际使用，本文经过参数变换用减法代替原来方法中的对数运算．同时将PSO算法代替原来的穷尽搜索获得阈值向量来提高求解速度和分割效率，通过对实际图像分割效果表明，本文方法简单有效．

英文摘要：

The computation consuming of 2D maximum entropy method is often an obstacle in the image segmentation. In this paper logarithm is replaced by subtraction and the threshold vector is obtained by using a new optimization algorithm. The new algorithm is proposed to realize the 2D maximum entropy method instead of exhaustive search method, thus it is faster than the traditional method. The proposed method has been proved to be efficient through the example for segmenting the infrared image.