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噪声对后续图像处理的质量有严重影响，经典的去噪方法在抑制噪声的同时会丢失图像中的细节。
Noise has serious effects on quality of successive image processing. Classical filters can restrain it with the loss of image details.
实验结果证明该方法与传统的图像最大熵分割方法相比，有远算速度快、抗噪能力强的优点。
This method is proved by experimental results to have higher computering speed and better denoising performance than traditional segmentation.
实验结果表明，这种方法对FMI图像有好的分割效果和去噪效果。
Test results show that the method has good division effect and noise suppression effect on FMI image.
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