摘要: 为解决血液白细胞显微图像自动识别中的图像分割问题，提出了一种基于活动轮廓的彩色白细胞图像自动分割方法，首先在Hue，Saturation，Intensitv(HSI)彩色空间中运用聚类分割得到细胞核，从而得到细胞所在的位置，然后用流域算法得到细胞大致的轮廓，最后将此轮廓作为初始轮廓，用梯度矢量流(GVF)外力及来自全局信息的区域力驱动，结合彩色信息，使得轮廓收敛于真实的细胞边界。实验结果表明，此方法能精确、有效地分割出单个以及部分重叠白细胞区域。

    关键词: 彩色图像分割;HIS颜色空间;水域算法;活动轮廓

    Automated Segmentation of Colored Leukocyte Images Based on the Active Contour Model

    CAI Jun，BAO Xu-dong，WU Lei，LUO Li-ming

    (Department of Biological Science and Medical Engineering，Southern University，Nanjing Jiangsu，210096China)

    Abstract:To solve the problem of image segmentation for automatic recognition of colored leukocyte images，a novel cell segmentation method employing active contour model for leukocyte cell images is presented.Firstly，K-means clustering algorithm based on Hue，Satura-tion，Intersive(HSI)color space is applied for nucleus localization.Then the leukocytes roughly by usingwatershed algorithm is segmented.Fi-nally，the initial snake contour placed inside the leukocyte is driven by the gradient flowvector force and region force used in the active contour model，combined withcolor and region messages ......