A Kind Of Cell Tracking Algorithm Based on Relaxation Iterative Segmentation Algorithm

Gan Lan, Zheng Fei-hu
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引用次数: 2

Abstract

A boundary tracking algorithm with two-dimensional chain tables was proposed to find out the cell nucleus in cytoplasm of the same cell, in which firstly the relaxation iterative algorithm was used in the automatical cell segmentation of the cell nucleus and cytoplasm. As a result of the relaxation iterative cell segmentation, the cell nucleus and cytoplasm were separated from the background clearly, which made a good foundation for the cell boundary tracking. Then a 4-neighbour boundary tracking algorithm was used to get the two-dimensional chain tables of nuclear and cytoplasm, which based on external normal preferential algorithm. Finally, line scan algorithm was used in the scanning of the pixels of cytoplasm parallel so that the cell nucleus in cytoplasm of the same cell was found out, which was innovational and useful for the cell recognition. And at last some test results was presented to show the effectiveness of the proposed algorithm.
一种基于松弛迭代分割算法的细胞跟踪算法
提出了一种二维链表边界跟踪算法,在同一细胞的细胞质中寻找细胞核。该算法首先采用松弛迭代算法对细胞核和细胞质进行自动分割;松弛迭代细胞分割使细胞核和细胞质与背景清晰分离,为细胞边界跟踪奠定了良好的基础。在此基础上,采用基于外部法向优先算法的四邻边界跟踪算法得到核与细胞质的二维链表;最后,采用行扫描算法对细胞质像素进行平行扫描,从而发现同一细胞细胞质中的细胞核,为细胞识别提供了创新的思路。最后给出了测试结果,验证了该算法的有效性。
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