摘要： 提出了一种针对皮肤显微图像进行自适应分割的方法，其思想是：首先将RGB 图像变化到HSI(Hue/Saturation/Intensity)空间；计算图像的S 域标准差σ，以σ 为判据，当σ 较大时，采用最大类间方差法确定分割阈值，当σ 较小时，采用修正均值法确定分割阈值，最后用数学形态法进行图像后处理完成图像分割，从而解决了大动态范围图像标准差的图像分割。该方法算法简单、实用，实现了不同症状的皮肤显微图像的自适应分割。

关键词: 皮肤显微图像；图像分割；HIS 彩色模型；阈值

Abstract: A method is presented for adaptive segmentation of skin micro-image in this paper. Firstly, the RGB image is transferred to HSI model,then segmentation methods of different skin micro-image are automatically selected, which is based on σ , standard difference of S value. When σ is larger, it uses max-variance method to determine threshold, and when σ is less, it uses corrected-mean method to determine threshold. Finally symptoms are successfully post-processed from skin micro-image by using mathematic morphology

Key words: Skin micro-image; Image segmentation; HIS color model; Threshold