计算机科学 ›› 2016, Vol. 43 ›› Issue (5): 298-303.doi: 10.11896/j.issn.1002-137X.2016.05.057
张剑华,邹祎杰,高强,陈胜勇
ZHANG Jian-hua, ZOU Yi-jie, GAO Qiang and CHEN Sheng-yong
摘要： 针对相差显微镜下癌细胞的生命状态分析问题,提出了一种基于形态学的癌细胞状态检测与判别方法。首先使用改进的水平集算法分割出目标癌细胞的轮廓,然后使用OTSU方法在细胞内部进行二值化处理,得到亮、暗两种区域。基于细胞轮廓和细胞内部亮、暗区域,充分利用细胞灰度、形状及内部结构信息,提出了5种有效的特征来进行细胞分裂间期、分裂前期、分裂中期和分裂后期的检测与判别。大量实验表明,所提方法对膀胱癌T24相差显微(Phase-Microscopy)细胞视频中的癌细胞检测可以得到较好的结果,证明该方法可以检测并判别出各个独立细胞的位置及所处阶段,且对序列图像中的细胞状态检测有较强的鲁棒性。
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