使用计算机语言进行图像缩小一般有抽样缩小和平均缩小，其方法是将源图像分割成多个子域。
There are two kinds of methods to contract image by means of computer language, that is, the method to contract image by sampling and the method to contract image by averaging.
已有的算法一般只能分割出多区域肝脏CT图像中某一区域，针对这一问题，提出了一种新的多区域肝脏CT图像分割方法。
This paper presents a new segmentation method for CT images with multiple liver regions for the reason that most existing methods may only obtain single liver area within such images.
首先，运用K-均值聚类方法提取出细胞核，并且采用多域值分割演算法去除细胞图像中的背景区域。
Firstly, nucleus regions of leukocytes in images are automatically segmented by K-mean clustering method. Then single leukocyte region is detected by utilizing thresholding algorithm segmentation.
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